Jake Hofman is a Senior Principal Researcher at Microsoft Research in New York City, where his work in computational social science involves applications of statistics and machine learning to large-scale social data. Prior to joining Microsoft, he was a member of the Microeconomics and Social Systems group at Yahoo! Research. Jake is also an Adjunct Assistant Professor of Applied Mathematics at Columbia University, where he has designed and taught classes on a number of topics ranging from biological physics to applied machine learning. He holds a B.S. in Electrical Engineering from Boston University and a Ph.D. in Physics from Columbia University
Siddhartha Sen is a Principal Researcher at Microsoft Research in New York City, and previously at the MSR Silicon Valley lab. He creates distributed systems that use novel data structures and algorithms to deliver unprecedented functionality or performance. Some of his data structures have been incorporated into undergraduate textbooks and curricula. Recently, he has generalized this approach to use contextual machine learning to optimize decisions in distributed systems infrastructure. Siddhartha received his BS degrees in computer science and mathematics and his MEng degree in computer science from MIT. From 2004-2007 he worked as a developer at Microsoft and built a network load balancer for Windows Server. He completed his PhD from Princeton University in 2013. Siddhartha received the first Google Fellowship in Fault-Tolerant Computing in 2009, the best student paper award at PODC 2012, and the best paper award at ASPLOS 2017.
Dan Goldstein works at the intersection of behavioral economics and computer science. Prior to joining Microsoft, Dan was a Principal Research Scientist at Yahoo Research and a marketing professor at London Business School. He received his Ph.D. at The University of Chicago and has taught and researched at Columbia, Harvard, Stanford and Max Planck Institute in Germany, where he was awarded the Otto Hahn Medal in 1997. His academic writings have appeared in journals from Science to Psychological Review. Dan is a member of the Academic Advisory Board of the UK’s Behavioral Insights Team (aka Britain’s “nudge unit”). He was elected President of the Society for Judgment and Decision Making for the year 2015-2016.
Coen’s research interests are focused around developing novel computational methods for analyzing social scientific concepts. He recently graduated with a MA degree in Computational Social Science from the University of Chicago; his thesis research was on developing a free and open-source deep learning-based method for estimating the memorability of images. Other projects have included applying natural language processing techniques to analyze the colors in album cover art, examining the spread of urban legends through the early internet, and investigating how recommendation engines influence what video games people buy.