Faculty Fellowship

Faculty Fellowship

About

The Microsoft Research Faculty Fellowship recognizes innovative, promising new faculty, whose exceptional talent for research and innovation identifies them as emerging leaders in their fields. Provisions of the 2020 award include $100,000 USD awarded annually for two years starting in the Fall of 2020.

Timeline

  • Nominations accepted through Monday, September 30, 2019 at 5:00 PM Pacific Time
  • Nominees receive a request to submit their proposal in early October 2019
  • Proposals accepted through November 1, 2019
  • Reference letters accepted through November 15, 2019
  • Finalists will be notified by January 31, 2020
  • Finalists travel to Redmond, WA for in-person interviews in early Spring 2020
  • Recipients announced by April 30, 2020

Eligibility criteria

Nominators

  • Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Fellows should support this mission by fostering diverse and inclusive cultures within their communities.
  • Faculty must be nominated by their university or a Microsoft researcher.
  • A maximum of two nominations per university will be accepted; if more than one is nominated, then at least one nominee should help us increase the opportunities for faculty who are underrepresented in the field of computing. This includes those who self-identify as a woman, African American, Black, Hispanic, Latinx, American Indian, Alaska Native, Native Hawaiian, Pacific Islander, and/or person with a disability.
  • Microsoft researchers may nominate only one person for the fellowship.
  • Nominators must agree to write and submit a one-page recommendation letter in support of their nominee, if requested.

Nominees

  • Full-time faculty at a degree-granting college or university in North America or South America.
  • Faculty must have received their terminal degree (e.g. PhD, DSc) in August 2014 or later. We will take into account approved delays, like leaves of absences from the workplace, on a case by case basis if you contact us at msfellow@microsoft.com.
  • Currently conducting research, advising graduate students, and teaching in a classroom.
  • Research must be closely related to the general research areas carried out by Microsoft Research as noted in the Research areas tab above.

Recipients

  • If awarded, the recipient must remain an active, full-time faculty during the two consecutive academic years of the award or forfeit the award. Fellowships are not available for extension; however leaves of absence from the workplace will be considered on a case by case basis.
  • Payment of the award, as described above, will be made directly to the university and dispersed according to the university’s policies. Microsoft will have discretion as to how any remaining funds will be used if the faculty is no longer qualified to receive funding.

Nomination

How to submit a nomination

If you are submitting a nomination on behalf of your university or you are a Microsoft researcher, the below outlines the information necessary to submit the nomination by Monday, September 30, 2019 at 5:00 PM Pacific Time.

Microsoft researchers may each nominate one faculty. A maximum of two nominations per university will be accepted; if more than one is nominated, then at least one nominee should help us increase the opportunities for faculty who are underrepresented in the field of computing. This includes those who self-identify as a woman, African American, Black, Hispanic, Latinx, American Indian, Alaska Native, Native Hawaiian, Pacific Islander, and/or person with a disability.

  • Nominations must include:
    • Your name, email, job title, country in North or South America, and department as the person submitting the nomination on behalf of your university
    • Nominee’s name, email, and university
    • Nominee’s primary and secondary areas of research (click on the Research areas tab at the top of the page for a full list)
    • Attestation that the nominee received their terminal degree (e.g. PhD, DSc) in August 2014 or later
    • Attestation that the nominee is a full-time faculty member at a degree-granting college, conducting research, advising graduate students, and teaching in a classroom
    • Attestation that the nominee you are putting forth is either someone who self-identifies as underrepresented in the field of computing (as detailed above) or not

Nomination Form

Proposal

How to submit a proposal

If you were nominated by your university or a Microsoft researcher, then you will receive an email from Microsoft Research Fellowship Program (msfellow@microsoft.com) in early October 2019 which includes a private link to submit your proposal.

If you are a nominee, the below outlines the information necessary to submit your proposal by Friday, November 1, 2019 at 5:00 PM Pacific Time. Along with entering the below information in the submission tool, you will also be required to upload a Curriculum Vitae and a two-page statement of research.

  • Name, email, job title, country, university, and department
  • Month and year you finished your terminal degree (e.g. PhD, DSc)
  • Month and year you started your career as a professor
  • List of up to 5 of the top awards received for best paper or long-term impact paper, if applicable (include award name like “best paper”, authors, titles, conferences and years)
  • List of up to 5 of the top awards received for teaching or mentoring, if applicable
  • List up to 5 other top awards received not already listed above, if applicable
  • List of up to 5 top ranks held in a professional society, if applicable (e.g. “Senior member ACM”)
  • List of up to 5 research grants received, if applicable (include titles of the projects, years received, amounts and other principle investigators)
  • Attestation that you meet the eligibility criteria listed on the About tab
  • Curriculum vitae including a list of your publications (to be uploaded)
  • Two-page statement of research to include: your major research initiatives, what makes your approaches especially innovative, and how you would use the funding and the impact it would have on your research; we suggest font no smaller than 10-point and references should be included as part of the two pages (to be uploaded)
  • Contact information for three references who are established researchers familiar with your research. We highly encourage you to reach out to your references long before your proposal deadline. Microsoft will automatically provide instructions and request a reference letter from each of your three reference contacts separately as you submit your proposal. The sooner you submit your proposal, the more notice they will receive to upload a letter before the deadline. Those auto-generated emails will be sent from Microsoft Research Fellowship Program (msfellow@microsoft.com), which may end up in their spam folder. References will be asked to upload a letter in our online form. Note that all three contacts must submit your reference letters by Friday, November 15, 2019 at 5:00 PM Pacific Time in order for your proposal to be considered. Due to the number of submissions, we will not respond to questions asking if your references were submitted in time. You will receive an auto-generated confirmation email each time one of your references submits a letter. You may also log into your proposal to see if a letter has been received or not. It is your responsibility to follow up with your references.
  • Primary and secondary research areas (a list can be found on the Research areas tab above)

Proposal submissions will be accepted via the online tool. Incomplete proposals cannot be considered, and notification of incompleteness will not be made.

Attachments will be accepted in any of the following formats: Word document, text-only file, or PDF. Email or hard-copy proposals will not be considered.

Proposals submitted to Microsoft will not be returned. Microsoft cannot assume responsibility for the confidentiality of information in submitted proposals. Therefore, proposals should not contain information that is confidential, restricted, or sensitive. Microsoft reserves the right to make public information from proposals that receive awards, except those portions containing budgetary or personally identifiable information.

FAQ

Below are the answers to frequently asked questions about the 2020 Microsoft Research Faculty Fellowship.

Eligibility criteria

What if I’m a faculty attending a university outside the Americas?

The Microsoft Research Faculty Fellowship includes only schools from the Americas. If you are a faculty at a school outside North America or South America, you are not eligible for this fellowship.

Do I have to be nominated by my university or can I nominate myself?

To be considered for the fellowship, you must be nominated by your university or a Microsoft researcher. If you are nominated, you will be contacted to submit a proposal.

Can Microsoft employees or their family members be nominated?

Employees and directors of Microsoft Corporation, and its subsidiaries and affiliates are not eligible, nor are persons involved in the execution or administration of this fellowship, or the family members of each above (parents, children, siblings, spouse/domestic partners, or individuals residing in the same household).

Nominations

Do the universities need to coordinate with Microsoft researchers so they do not nominate the same person?

No, universities do not need to coordinate with Microsoft researchers. It is acceptable to nominate the same faculty.

Is the Microsoft researcher limit independent of the university limit on the number of individuals that can be nominated?

Yes, the limit is independent of the university limit.

Who is meant to submit the nomination?

The university can designate any staff other than the nominee to submit the nomination. The nomination simply needs to be a coordinated effort to ensure there are no more than two submissions from each university.

Does the university have to submit a letter through the online tool as well in support of my nomination?

No, we do not require a letter from the university.

Does whether or not a faculty member's research is already being funded impact their eligibility for nomination and/or winning the award?

Not from our perspective.

Research areas

How do I determine my primary and secondary research areas? Where is the appropriate place to describe how they relate to my work (whether it's methodologically or theoretically)?

  • Your choices of primary and secondary areas help us choose who reviews your proposal.
  • Pick areas that align with conferences/journals where you would publish.

How do I choose which to pick for my research area if my research is very interdisciplinary?

Microsoft Research is interdisciplinary, so it is something we understand. What you choose as a research area is a “soft” preference and will simply help us better route your proposal. Utilize the primary and secondary research area option to help capture and communicate your research area the best you can.

Here are some suggestions and guiding questions to help you choose a research area:

  • Do you have a home conference? Are there one or two conferences you go to in a more specific area?
  • Who do you want to be reading your proposal?
  • Who would you want to network with? What area of research are they in?
  • Who would be most excited about my topic? What area of research are they in?

How related does my work need to be to Microsoft Research?

Your work should be of interest to researchers at Microsoft; however, it doesn’t need to directly line up with an existing project or topic. It is important for your work to be related enough that Microsoft researchers will be able to review it and have interest in supporting it. Microsoft Research is large, interdisciplinary, and covers a broad area — use the Research areas tab above as a guideline for the areas we cover. When in doubt, we suggest you browse the webpages of researchers who look like they may be related to your area and see if they have papers in the similar topics or publish in conferences you publish in and/or attend. If you find one or more such researchers that share these connections with you, then you can feel confident that your work is related enough to submit a proposal.

Reference letters

Who should write my reference letters?

Given you need three letters, it would be good to include a letter from one person who can speak about your current research and one person who has known you longer, even if it may not be in your current research area. The longer-term perspective is definitely important and valuable. The value of a letter is evaluating how you work, how you collaborate with people, and what your process is as a researcher. This transcends what your particular topic is. Keep in mind that one letter doesn’t have to address all things; across all three letters, we want to get a full picture of who you are over a longer term, but also insight into your recent work.

Are you more interested in learning about technical and research specific aspects of my work, or are other things, such as outreach/other university activities of interest as well?

The purpose of a letter of reference is to provide us with the bigger picture of what you are doing, how you work as a researcher, how you learn, how you approach projects, and how you collaborate with others. The letter will also provide us with insight from people who have been working with you and observing you for some amount of time.

For the recommendation letters, is it a system where you list the people and your system will ask those people? Or do they have to send their recommendation letters to whomever is filling out the proposal?

Once you submit your proposal, those you provided as references will be sent an auto-generated email with instructions to upload their recommendation letters. The sooner you submit your proposal, the more time they will have to upload a letter before the deadline. We highly encourage you to reach out to your references long before your proposal deadline.

Review process

Who will review the proposals?

Proposals will be reviewed by researchers from Microsoft Research whose expertise covers a wide range of disciplines. After the first review, a selection of faculty will be invited for in-person interviews in front of a panel. Award recipients are chosen from those finalists.

What are you looking for when you review my proposal?

We look at how cutting edge your research is as well as the significance and impact of the research. Microsoft researchers carefully read through your two-page statement of research, three reference letters, and your CV to try to gauge this. Best paper and other top awards are not required, but are helpful signals. The two-page statement of research should include your major research initiatives, what makes your approaches especially innovative, and how you would use the funding and the impact it would have on your research.

When will I know the outcome of the review process?

Finalists will be contacted by the end of January to book their travel for the interview. Due to the volume of submissions, Microsoft Research cannot provide individual feedback on proposals that do not receive fellowship awards.

How many proposals were there last year?

There were over 100 proposals submitted last year.

Award details

If selected, when will my fellowship begin?

Persons awarded a fellowship in April will receive their financial awards by September of that year. Microsoft sends payment directly to the university, who will disperse funds according to their guidelines.

Are there any tax implications for me if I receive this fellowship?

The tax implications for your award are based on the policy at your university.

Will intellectual property be an issue if I am awarded a fellowship?

The Microsoft Research Faculty Fellowship is not subject to any intellectual property (IP) restrictions.

Is childcare an approved use of the award funding?

Absolutely! There is no limit to the amount of your stipend that can be used for childcare.

Fellows

Microsoft Research Faculty Fellows

2019 Faculty Fellow: Mohammad AlizadehMohammad Alizadeh

Assistant Professor, Electrical Engineering and Computer Science
Massachusetts Institute of Technology

Mohammad Alizadeh is the TIBCO Career Development Assistant Professor of Computer Science at MIT. His research interests are in the areas of networked computer systems and applied machine learning. His current research focuses on learning-augmented network systems, programmable networks, and network protocols and algorithms for datacenters. Mohammad’s research has garnered significant industry interest. His work on datacenter transport protocols has been implemented in Linux and Windows, and has been deployed by large network operators; his work on adaptive network load balancing algorithms has been implemented in Cisco’s flagship datacenter switching products. Mohammad received his PhD from Stanford University and then spent two years at Insieme Networks (a datacenter networking startup) and Cisco before joining MIT. He is a recipient of the NSF CAREER Award (2018), SIGCOMM Rising Star Award (2017), Alfred P. Sloan Research Fellowship (2017), and multiple best paper awards.


2019 Faculty Fellow: Stefano ErmonStefano Ermon

Assistant Professor, Computer Science Department
Stanford University

Stefano Ermon is an assistant professor of computer science in the CS Department at Stanford University, where he is affiliated with the Artificial Intelligence Laboratory, and is a fellow of the Woods Institute for the Environment. His research is centered on techniques for probabilistic modeling of data, inference, and optimization, and is motivated by applications in the emerging field of computational sustainability. He has won several awards, including the IJCAI Computers and Thought Award, NSF CAREER Award, ONR Young Investigator Award, AFOSR Young Investigator Award, Sony Faculty Innovation Award, AWS Machine Learning Award, Hellman Faculty Fellowship, and four Best Paper Awards (AAAI, UAI and CP). Stefano earned his PhD in Computer Science at Cornell University in 2015.


2019 Faculty Fellow: Jessica HullmanJessica Hullman

Assistant Professor, Computer Science + Journalism
Northwestern University

Jessica Hullman is an assistant professor in computer science and journalism at Northwestern. The goal of her research is to develop computational tools that improve how people reason with and make decisions from data. She is especially interested in challenges that arise in presenting data to non-expert audiences, where the need to convey a clear story often conflicts with goals of transparency and faithful presentation of uncertainty. Her current research focus is on uncertainty representation through interactive visual interfaces that enable users to articulate and reason about their prior beliefs. Jessica’s research has been supported by the NSF (CRII, CAREER), Navy, Google, Tableau, and Adobe. Prior to joining Northwestern, she was an assistant professor at the University of Washington Information School. Her PhD is from the University of Michigan, and she spent a year as a postdoctoral scholar in computer science at the University of California, Berkeley.


2019 Faculty Fellow: Yin Tat LeeYin Tat Lee

Assistant Professor, Paul G. Allen School of Computer Science & Engineering
University of Washington

Yin Tat Lee is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research interests are primarily in algorithms, and they span a wide range of topics such as convex optimization, convex geometry, spectral graph theory, and online algorithms. His primary research goal is to find algorithms for solving a general class of convex optimization problems. He has received a variety of awards for his work, including Best Paper Award and 2x Best Student Paper Awards at FOCS, Best Paper Award at SODA, Best Paper Award at NeurIPS, Sprowls Award and NSF CAREER Award, and A.W. Tucker Prize.


2019 Faculty Fellow: Raluca Ada PopaRaluca Ada Popa

Assistant Professor, Electrical Engineering and Computer Science
University of California, Berkeley

Raluca Ada Popa is an assistant professor of computer science at UC Berkeley working in computer security, systems, and applied cryptography. She is a co-founder and co-director of the RISELab at UC Berkeley, as well as a co-founder and CTO of a cybersecurity startup called PreVeil. Raluca received her PhD in computer science from MIT as well as her Masters and two BS degrees in computer science and in mathematics. She is the recipient of a Sloan Foundation Fellowship, a George M. Sprowls Award for best MIT CS doctoral thesis, and a Johnson Award for best CS Masters of Engineering thesis from MIT.


2014 Faculty Fellows

Portrait of Yong-Yeol AhnYong-Yeol Ahn

Assistant Professor, School of Informatics and Computing

Indiana University Bloomington

Yong-Yeol Ahn’s research develops and leverages mathematical and computational methods to study complex systems such as cells, the brain, society, and culture. His recent contribution includes a new framework to identify pervasively overlapping modules in networks, network-based algorithms to predict viral memes, and a new computational approach to study food culture. He is currently an assistant professor at the School of Informatics and Computing at Indiana University, Bloomington. He worked as a postdoctoral research associate at Northeastern University and at the Dana-Farber Cancer Institute for three years after earning his PhD in Statistical Physics from KAIST in 2008.


Portrait of Byung-Gon ChunByung-Gon Chun

Assistant Professor, Department of Computer Science and Engineering

Seoul National University

Byung-Gon Chun is interested in creating new platforms for operating and distributed systems. He is currently developing a big data platform that makes it easy to implement large-scale, fault-tolerant, heterogeneous data processing applications. He has also built systems that seamlessly integrate cloud computing with mobile devices for improved performance, reliability, and security. Chun received his PhD in Computer Science from the University of California, Berkeley. Prior to joining Seoul National University, Chun was a principal scientist at Microsoft, a research scientist at Yahoo! Research and Intel Research, and a postdoctoral researcher at ICSI.


Portrait of Diego Fernández SlezakDiego Fernández Slezak

Assistant Professor, Department of Computer Science

University of Buenos Aires

Diego Fernández Slezak’s work focuses on novel methods for text analysis in massive-scale repositories to find stereotyped patterns in human thought. The goal is the development and use of machine-learning techniques to study digital text corpora associated with cognitive processes, aiming at identifying the mental operations underlying behavioral processes, with application to mental health and education. Diego Fernández Slezak received his PhD in Computer Science in 2010 from University of Buenos Aires and was recipient of the IBM PhD Fellowship.


Portrait of Roxana GeambasuRoxana Geambasu

Assistant Professor, Computer Science Department

Columbia University

Roxana Geambasu works at the intersection of three computer science fields: distributed systems, operating systems, and security and privacy. Her research aims to increase privacy in today’s data-driven world. Privacy has become a rare commodity in today’s world, due to users who are too eager to share their data online and Web services that aggressively collect and use that information. Roxana’s goal is to forge a new world, in which Web services are designed from the ground up with privacy in mind, and where users are more aware of the privacy implications of their online actions. Roxana obtained her Ph.D. from the University of Washington and was awarded a 2014 NSF CAREER award, an Honorable Mention for the 2013 inaugural Dennis M. Ritchie Doctoral Dissertation Award, a William Chan Memorial Dissertation Award, two best paper awards, and a 2013 Google Faculty Research Award.


Portrait of Percy LiangPercy Liang

Assistant Professor, Computer Science Department

Stanford University

Percy Liang is an Assistant Professor of Computer Science at Stanford University (B.S. from MIT, 2004; Ph.D. from UC Berkeley, 2011). His research interests include (i) parsing natural language into semantic representations (e.g., executable code), for supporting intelligent user interfaces; and (ii) developing machine learning algorithms that infer rich latent structures (e.g., programs) from limited supervision (e.g., program output), balancing computational and statistical tradeoffs. He won a best student paper at the International Conference on Machine Learning in 2008, received the NSF, GAANN, and NDSEG fellowships, and is also a 2010 Siebel Scholar.


Portrait of David SteurerDavid Steurer

Assistant Professor, Department of Computer Science

Cornell University

David Steurer investigates the power and limitations of efficient algorithms for optimization problems that are at the heart of computer science and its applications. A focus of his work has been the Unique Games Conjectures whose resolution—no matter in which direction—promises new insights into the capabilities of efficient algorithms. As part of the research effort to resolve this conjecture, he studies provable guarantees of the sum-of-squares method, a compelling meta-algorithm that applies to a wide-range of problems and has the potential to unify the design of efficient algorithms for difficult optimization problems. Steurer received his PhD from Princeton University and was a postdoctoral researcher at Microsoft Research for two years before joining Cornell University. He is the recipient of the 2010 FOCS best paper award, the 2011 ACM Doctoral Dissertation Award Honorable Mention, an NSF CAREER Award, and an Alfred P. Sloan Research Fellowship.


Portrait of Vinod VaikuntanathanVinod Vaikuntanathan

Assistant Professor, Electrical Engineering and Computer Science Department

Massachusetts Institute of Technology

Vinod Vaikuntanathan is a Steven and Renee Finn Career Development Assistant Professor of Computer Science at MIT. His main research interest is in the theory and practice of cryptography. He works on lattice-based cryptography, building advanced cryptographic primitives using integer lattices; leakage-resilient cryptography, defining and developing algorithms resilient against adversarial information leakage; and more recently, the theory and practice of computing on encrypted data, constructing powerful cryptographic objects such as fully homomorphic encryption and functional encryption. Vinod got his Ph.D. from MIT where he received a 2009 George M. Sprowls Award for the best MIT Ph.D. thesis in Computer Science. He is also a recipient of the 2008 IBM Josef Raviv Postdoctoral Fellowship, the 2009, the 2013 Alfred P. Sloan Research Fellowship, and a 2014 NSF CAREER award.

2013 Faculty Fellows

Portrait of Animashree AnandkumarAnimashree Anandkumar

Assistant Professor, Department of Electrical Engineering and Computer Science

University of California, Irvine

Animashree Anandkumar’s research lies at the interface of theory and practice of large-scale machine learning and high dimensional statistics. Her theoretical contributions include analysis of high-dimensional estimation of graphical models and developing tensor methods for learning latent variable models. She has applied the developed algorithms to various problems in social networks and computational biology. She is currently an assistant professor at the Department of Electrical Engineering and Computer Science at the University of California, Irvine. She spent a year as a postdoctoral researcher at MIT and got her PhD from Cornell University. She has been a visiting researcher at Microsoft Research New England. She is the recipient of the ARO Young Investigator Award, NSF CAREER Award, IBM Fran Allen PhD fellowship, and several paper awards.


Portrait of Katrina LigettKatrina Ligett

Assistant Professor, Computer Science and Economics

California Institute of Technology

Katrina Ligett is an assistant professor of Computer Science and Economics at Caltech. In her research, she develops theoretical tools to address problems in data privacy and to understand individual incentives in other complex settings. She received her PhD from Carnegie Mellon University in 2009 and was a postdoctoral fellow at Cornell University before joining the California Institute of Technology in 2011. She is a recipient of the AT&T Labs Graduate Research Fellowship, the NSF Graduate Research Fellowship, the CIFellows Postdoctoral Research Fellowship, the NSF Mathematical Sciences Postdoctoral Research Fellowship, and an NSF CAREER award.


Portrait of Michael MilfordMichael Milford

Senior Lecturer, School of Electrical Engineering and Computer Science

Queensland University of Technology

Michael Milford’s research investigates how robots and biological systems map and navigate the world. He builds computational models based on experimental results and theories from the fields of neuroscience and biology and deploys them on robotic systems navigating in challenging real world environments. This novel research methodology has produced state-of-the-art results in robotics and yielded insights into how the brain may map and navigate the world. Milford received his PhD from the University of Queensland in 2006 and is the recipient of an Australian Research Council DECRA Fellowship and Discovery Project award.


Portrait of Ruslan SalakhutdinovRuslan Salakhutdinov

Assistant Professor, Department of Statistics and Computer Science

University of Toronto

Ruslan Salakhutdinov received his PhD in computer science from the University of Toronto in 2009. After spending two post-doctoral years at the Massachusetts Institute of Technology Artificial Intelligence Lab, he joined the University of Toronto as an assistant professor in the departments of Statistics and Computer Science. His primary interests lie in artificial intelligence, machine learning, deep learning, and large-scale optimization. His main research goal is to understand the computational and statistical principles required for discovering structure in large amounts of data. He is an action editor of the Journal of Machine Learning Research and served on the senior programme committee of several learning conferences, including NIPS and ICML. He is an Alfred P. Sloan Research Fellow, a recipient of the Early Researcher Award and Connaught New Researcher Award, and is a Scholar of the Canadian Institute for Advanced Research.


Portrait of Michael SchapiraMichael Schapira

Senior Lecturer, School of Computer Science and Engineering

Hebrew University of Jerusalem

Michael Schapira’s research draws ideas from algorithmic and economic theory to design practical Internet protocols with provable guarantees (for example, for routing and traffic management). His research aims to both “fix”’ today’s Internet protocols and to design new and improved (better performing, secure, failure-resilient, and so forth) protocols for the future Internet. Schapira also has a broad research interest in the interface of computer science, game theory, and economics. He is a recipient of the Allon Fellowship (2011) and a member of the Israeli Center of Research Excellence in Algorithms. Prior to joining Hebrew University, Schapira was a postdoctoral researcher at the University of California, Berkeley, Yale University, and Princeton University, and a visiting scientist in Google New York’s Infrastructure Networking group.


Portrait of Monica TentoriMonica Tentori

Assistant Professor, Department of Computer Science

Center for Scientific Research and Higher Education (CICESE)

Monica Tentori investigates the human experience of ubiquitous computing to inform the design of ubiquitous environments that effectively enhance humans’ interactions with their world. Her research intersecting human-computer interaction and ubiquitous computing particularly focuses on designing, developing, and evaluating natural user interfaces, self-reflection capture tools, and new interaction models for ubiquitous computing. Her work is being applied to healthcare and urban living to support the needs of urban citizens, hospital workers, elders, and individuals with autism and their caregivers. Tentori’s research demonstrates that effectively designed ubiquitous environments have the potential to promote healthy lifestyles and independence, and positively impact attention, behavior, and workload.


Portrait of Ryan WilliamsRyan Williams

Assistant Professor, Computer Science Department

Stanford University

Ryan Williams works in algorithm design and complexity theory. He studies how to construct more efficient algorithms for solving computational problems, as well as how to mathematically rule out the possibility of efficient algorithms for other problems. Such impossibility results are generally perceived as very difficult; algorithms can be very clever, and it is hard to reason about all cleverness one could have. The famous P versus NP question asks about the power of efficient algorithms. Williams’ work shows how the design and analysis of algorithms for core problems in computer science can often be exploited to rule out efficient algorithms for other core problems, raising new questions about our understanding of efficient computation. Williams received his PhD from Carnegie Mellon University in 2007 under Manuel Blum. His honors include some best paper awards and an Alfred P. Sloan Fellowship.

2012 Faculty Fellows

Portrait of Emma BrunskillEmma Brunskill

Assistant Professor, Department of Computer Science

Carnegie Mellon University

Emma Brunskill’s research focuses on creating automated decision systems that interact with people, a challenge that spans artificial intelligence, machine learning, and human-computer interaction. She is particularly interested in adaptive, individualized tutoring systems that learn and self-optimize. Emma also works on health applications and on using information communication technologies to address challenges in low resource settings and developing regions.


Portrait of Constantinos DaskalakisConstantinos Daskalakis

Assistant Professor, Department of Electrical Engineering and Computer Science

Massachusetts Institute of Technology

Constantinos Daskalakis is the X Consortium Assistant Professor of Computer Science at MIT. His research studies the interface of computer science and economics, with a focus on computational aspects of the Internet, online markets, and social networks. Daskalakis has been honored with the 2007 Microsoft Graduate Research Fellowship, the 2008 ACM Doctoral Dissertation Award, the 2010 Sloan Fellowship, the 2011 SIAM Outstanding Paper Prize, and the MIT Ruth and Joel Spira Award for Distinguished Teaching. His work on the complexity of the Nash equilibrium was honored by the Game Theory Society with the First Computer Science and Game Theory prize. Daskalakis received his PhD in Computer Science from UC Berkeley and was a post-doctoral researcher at Microsoft Research prior to joining MIT.


Portrait of Stephen GouldStephen Gould

Senior Lecturer, School of Computer Science

Australian National University

Stephen Gould is a faculty member in the Research School of Computer Science at the Australian National University. He received his PhD from Stanford University in 2010. Prior to his PhD, Stephen founded and worked in a number of start-up companies. Stephen’s current research interests are in developing mathematical models that allow computers to learn how to interpret scenes from images. This involves recognizing objects and understanding how they interact with other objects and with their environment.


Portrait of Andreas KrauseAndreas Krause

Assistant Professor, Department of Computer Science

ETH Zurich

Andreas Krause’s research is in learning and adaptive systems that actively acquire information; reason; and make decisions in large, distributed, and uncertain domains, such as sensor networks and the web. It spans theoretical aspects in machine learning and optimization, as well as interdisciplinary applications, ranging from community sensing to computational sustainability to social networks. He got his PhD in Computer Science from Carnegie Mellon University in 2008. He is a Kavli Frontiers Fellow of the U.S. National Academy of Sciences, and received an NSF CAREER award as well as several best paper awards.


Portrait of Miriah MeyerMiriah Meyer

Assistant Professor, School of Computing

University of Utah

Miriah Meyer’s research lives at the interface of computer science and data-intensive domains, where she designs interactive visualization systems that help scientists make sense of complex data. Her current work focuses on nimble and intuitive visualization tools that support research in genomics and molecular biology. Meyer takes a user-centered, problem-driven approach to developing visualizations that target specific scientific questions, working closely with scientists in an iterative and collaborative process. Her tools are integrated into the workflow of numerous biological labs and have led to several scientific discoveries, as well as to the validation and refinement of experimental and computational methods.


Portrait of Juan Carlos NieblesJuan Carlos Niebles

Assistant Professor, Electrical and Electronic Engineering

Universidad del Norte

Juan Carlos is interested in helping computers and robots see the world. In particular, his research is focused on designing novel algorithms for automatic recognition and detailed understanding of human motions, activities, and behaviors from images and videos. This technology has the potential to enable new life-improving activity-aware systems, such as personal robots and smart homes, smart video surveillance, medical diagnosis and monitoring, automated sports analysis, and semantic video search.


Portrait of Ashutosh SaxenaAshutosh Saxena

Assistant Professor, Department of Computer Science

Cornell University

Ashutosh Saxena works on a new generation of robots that will operate fully autonomously in human environments. His research is focused on the development of new machine-learning algorithms that enable robots to process massive amounts of sensory input data in real time and learn how to perform tasks in unstructured environments. His primary application domain is in assistive robotics, where his algorithms have enabled robots to perform tasks such as fetching items on verbal request, perform basic household chores, and identify and assist in human activities. He hopes to see such assistive robots appear in our homes, offices, and nursing homes soon.

2011 Faculty Fellows

Portrait of Maria Florina BalcanMaria Florina Balcan

Assistant Professor, School of Computer Science

Georgia Institute of Technology

Maria Florina Balcan is an assistant professor in the School of Computer Science at Georgia Institute of Technology. She received her PhD in Computer Science from Carnegie Mellon University under the supervision of Avrim Blum. From October 2008 until July 2009, she was a postdoc at Microsoft Research, New England. Her main research interests are computational and statistical machine learning, computational aspects in economics and game theory, and algorithms. She is a recipient of the Carnegie Mellon University SCS Distinguished Dissertation Award and the National Science Foundation NSF CAREER Award.


Portrait of Krishnendu ChatterjeeKrishnendu Chatterjee

Assistant Professor

Institute of Science and Technology Austria

Krishnendu is interested in graph games that arise in the formal verification of systems, and has deep connections with logic and automata theory. He established many fundamental results related to stochastic games on graphs, and is currently working on quantitative graph games and its application to synthesis of correct systems. He got his PhD from University of California, Berkeley in 2007, and his thesis won the David Sakrison Memorial Prize and Ackermann Award.


Portrait of Jure LeskovecJure Leskovec

Assistant Professor, Department of Computer Science

Stanford University

Jure Leskovec is an assistant professor of Computer Science at Stanford University. His research focuses on the analysis and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Problems he investigates are motivated by large scale data, the Web and Social Media. Jure received his PhD in Machine Learning from Carnegie Mellon University in 2008 and spent a year at Cornell University. His work received six best paper awards, won the ACM KDD cup and topped the Battle of the Sensor Networks competition.


Portrait of Alistair McEwanAlistair McEwan

Lecturer of Computer Engineering, School of Electrical and Information Engineering

The University of Sydney

Alistair McEwan’s work aims to solve major health issues with technology, and involves research in the emerging field of bioelectronics—the interaction between electronics and biology. His current investigation of the electrode–skin interface aims to improve emergency diagnosis of heart attack and stroke as well as long-term monitoring of cardiovascular disease. He also works on related projects in electrical-impedance imaging systems, microelectronic circuits and systems, and neuromorphic engineering.


Portrait of Shwetak PatelShwetak Patel

Assistant Professor, Departments of Computer Science and Electrical Engineering

University of Washington

Shwetak Patel’s research is at the intersection of hardware, software, and human-computer interaction. His research focuses on building easy-to-deploy and practical sensing systems for the home. His work is being applied to sustainability, elder care, home safety, and the creation of new approaches for natural user interfaces. Many of his techniques use the existing utilities infrastructure as a “sensor,” thereby reducing the need for additional instrumentation. In one example, Patel has developed techniques for energy and water monitoring that provide a detailed breakdown of consumption in the home through monitoring a single point on the utility infrastructure. Through these new sensing approaches, Patel envisions the ability to instrument homes easily with smart technology for high-value applications.


Portrait of Anderson de Rezende RochaAnderson de Rezende Rocha

Assistant Professor, Institute of Computing

University of Campinas

Professor Rocha’s research interests include digital image and video forensics, computer vision, pattern analysis, and machine intelligence—focused on the field of digital document forensics. He seeks solutions for problems regarding collection, organization, and classification of digital evidence that is used by law enforcement agencies in Brazil and abroad. He is investigating how to reduce the misuse of important evidence and is working on digital categorization solutions to reduce the technical effort that is required to analyze each piece of evidence. Professor Rocha’s work emphasizes tracking the source of the evidence, new techniques for establishing authenticity, and exposing possible tampering.


Portrait of Keith Noah SnavelyKeith Noah Snavely

Assistant Professor, Computer Science Department

Cornell University

Noah Snavely is interested in using massive collections of images on the web to better understand and visualize our world. His research builds new computer-vision algorithms for scalable 3-D reconstruction, new graphics techniques for experiencing places through online photos, and new ways to enable communities of photographers to capture useful image collections. His software is being used by educators, artists, and scientists across a range of disciplines.


Portrait of Brent WatersBrent Waters

Assistant Professor, Department of Computer Sciences

University of Texas

Brent Waters studies cryptography and computer security. His research is laying the foundations for a new vision of encryption called Functional Encryption. Instead of encrypting to individual users, in a Functional Encryption system, one can embed any access predicate into the cipher text itself. In addition, he is interested in understanding the foundational underpinnings of cryptography and in developing security primitives that are both practical and provably secure.

2010 Faculty Fellows

Portrait of Sinan AralSinan Aral

Department of Information, Operations, and Management Sciences

New York University Stern School of Business


Portrait of Doug DowneyDoug Downey

Department of Electrical Engineering and Computer Science

Northwestern University


Portrait of Raanan FattalRaanan Fattal

School of Computer Science and Engineering

The Hebrew University of Jerusalem


Portrait of abhi shelatabhi shelat

Department of Computer Science

University of Virginia


Portrait of Haiying ShenHaiying Shen

Department of Electrical and Computer Engineering

Clemson University


Portrait of Cyrill StachnissCyrill Stachniss

Department of Computer Science

University of Freiburg, Germany


Portrait of Evimaria TerziEvimaria Terzi

Computer Science Department

Boston University

2009 Faculty Fellows

Portrait of Gill BejeranoGill Bejerano

Developmental Biology and Computer Science

Stanford University


Portrait of Luis CezeLuis Ceze

Computer Science and Engineering

University of Washington


Portrait of Nicole ImmorlicaNicole Immorlica

Electrical Engineering and Computer Science Department

Northwestern University, McCormick School of Engineering


Portrait of Svetlana LazebnikSvetlana Lazebnik

Department of Computer Science

University of North Carolina at Chapel Hill


Portrait of Rafael PassRafael Pass

Department of Computer Science

Cornell University

2008 Faculty Fellows

Portrait of Kristen GraumanKristen Grauman

Computer Sciences

University of Texas at Austin


Portrait of Susan HohenbergerSusan Hohenberger

Department of Computer Science

Johns Hopkins University


Portrait of Robert KleinbergRobert Kleinberg

Computer Science

Cornell University


Portrait of Philip LevisPhilip Levis

Departments of Computer Science and Engineering

Stanford University


Portrait of Karen LipkowKaren Lipkow

Department of Biochemistry

University of Cambridge


Portrait of Russell TedrakeRussell Tedrake

Electrical Engineering and Computer Science

Massachusetts Institute of Technology

2007 Faculty Fellows

Portrait of Magdalena BalazinskaMagdalena Balazinska

Department of Computer Science and Engineering

University of Washington


Portrait of Josh BongardJosh Bongard

Department of Computer Science

University of Vermont


Portrait of Yixin ChenYixin Chen

Department of Computer Science and Engineering

Washington University in St. Louis


Portrait of Adam SiepelAdam Siepel

Biological Statistics and Computational Biology

Cornell University


Portrait of Luis von AhnLuis von Ahn

Department of Computer Science

Carnegie Mellon University

2006 Faculty Fellows

Portrait of Regina BarzilayRegina Barzilay

Computer Science and Artificial Intelligence

Massachusetts Institute of Technology


Portrait of Aaron HertzmannAaron Hertzmann

Computer Science

University of Toronto


Portrait of Scott KlemmerScott Klemmer

Computer Science

Stanford University


Portrait of Eddie KohlerEddie Kohler

Computer Science

University of California, Los Angeles


Portrait of Fei-Fei LiFei-Fei Li

Computer Science

Stanford University


Portrait of Mark RouncefieldMark Rouncefield

Computing Department

University of Lancaster


Portrait of Andrey RybalchenkoAndrey Rybalchenko

Max Planck Institute for Software Systems

2005 Faculty Fellows

Portrait of Ruth BakerRuth Baker

Centre for Mathematical Biology

University of Oxford


Portrait of Frédo DurandFrédo Durand

Computer Graphics

Massachusetts Institute of Technology


Portrait of Subhash KhotSubhash Khot

College of Computing

Georgia Institute of Technology


Portrait of Dan KleinDan Klein

Computer Science Division

University of California, Berkeley


Portrait of Radhika NagpalRadhika Nagpal

School of Engineering and Applied Sciences

Harvard University


Portrait of Wei WangWei Wang

Department of Computer Science

University of North Carolina at Chapel Hill


Portrait of Klaus-Peter ZaunerKlaus-Peter Zauner

School of Electronic and Computer Science

University of Southampton