About

I am a Researcher at Microsoft Research, New England. I received my Ph.D. from the Computer Science Department of Cornell University, where I had the privilege to be advised by Eva Tardos and then spent two years as a postdoc researcher at the Microsoft Research, NYC Lab, where I was part of the Algorithmic Economics and the Machine Learning group. I defended my Ph.D. thesis on Efficiency of Mechanisms in Complex Markets in August 2014. Prior, I obtained my diploma in Electrical Engineering and Computer Science at the National Technical University of Athens, Greece.

My research interests lie at the intersection of the areas of algorithms, game theory, auction theory and mechanism design, econometrics, data science, machine learning theory and computational complexity of games. On the application side, I am interested in the game theoretic foundations of electronic markets and electronic platforms where incentives are a primary aspect of their functionality, with an emphasis on the design and analysis of simple incentive schemes and mechanisms.

[ Resume | Research Statement ] [ DBLP | Google Scholar | Arxiv | SSRN ]

Projects

Publications

Videos

Other

2016

  • Computationally Efficient Learning in Auctions, Stanford CS, Theory Seminar, October 2016
  • Econometrics for Learning Agents, Stanford GSB, Economics Seminar, October 2016
  • Bayesian Exploration, Workshop on Information and Social Economics, Caltech, August 2016
  • Econometric Theory for Games, Tutorial on Algorithmic Game Theory and Data Science, ACM Conference on Economics and Computation, July 2016
  • Learning in Strategic Environments: Theory and Data, UIUC, CS Colloquium, March 2016
  • Learning in Strategic Environments: Theory and Data, Duke University, CS Colloquium, March 2016
  • Learning in Strategic Environments: Theory and Data, Northwestern University, CS Colloquium, March 2016
  • Learning in Strategic Environments: Theory and Data, Imperial College, Department of Computing, March 2016
  • Learning in Strategic Environments: Theory and Data, Caltech, CMS Frontiers workshop, March 2016
  • Learning in Strategic Environments: Theory and Data, UMass Amherst, CS Colloquium, March 2016
  • Learning in Strategic Environments: Theory and Data, Google Research, March 2016
  • Learning in Strategic Environments: Theory and Data, Columbia University, CS Colloquium, February 2016
  • Learning in Strategic Environments: Theory and Data, MIT, EECS/IDSS Seminar, February 2016
  • Learning in Strategic Environments: Theory and Data, EPFL, IC Colloquium, February 2016
  • Learning in Strategic Environments: Theory and Data, Microsoft Research, New England, February 2016
  • Learning in Strategic Environments: Theory and Data, University of Chicago, Booth School of Business, February 2016
  • Learning in Strategic Environments: Theory and Data, Institute of Science and Technology (IST), Austria, January 2016

2015

  • Econometrics for Learning Agents, Simons Institute for the Theory of Computing, Seminar on “Simplicity and Complexity in Economics”, October 2015
  • Fast Convergence of Regularized Learning in Games, Simons Institute for the Theory of Computing, EconCS Whiteboard Talks series, September 2015
  • Econometrics for Learning Agents, INFORMS, November 2015
  • Econometrics for Learning Agents, Google Theory Seminar, September 2015
  • Econometrics for Learning Agents, MSR Economics Seminar, August 2015
  • Learning and Efficiency in Games with Dynamic Population, University of Pennsylvania, CS Theory Seminar, May 2015
  • Price of Anarchy in Auctions, University of Washington, CS Theory Seminar, March 2015
  • Bayesian Incentive-Compatible Bandit Exploration, MSR Redmond, Theory lunch, March 2015

2014

  • Efficiency of Mechanisms in Complex Markets, Northwestern University, CS Colloquium, April 2014
  • Efficiency of Mechanisms in Complex Markets, MSR Redmond, Theory group, March 2014
  • Efficiency of Mechanisms in Complex Markets, MSR NYC Colloquium, February 2014
  • Information Asymmetries in Common Value Auctions with Discrete Signals, Kellog School of Business, January 2014
  • Efficiency of Mechanisms in Complex Markets, MSR Sillicon Valley Colloquium, January 2014

2013

  • Price of Anarchy in Auctions, Tutorial at the Conference on Web and Internet Economics, December 2013
  • Social Status and the Design of Optimal Badges, NBER Market Design Working Group, October 2013
  • Composable and Efficient Mechanisms, INFORMS, October 2013
  • Information Asymmetries in Common Value Auctions with Discrete Signals, INFORMS, October 2013
  • Composable and Efficient Mechanisms, Harvard University, EconCS Seminar, September 2013
  • Composable and Efficient Mechanisms, MSR New England, Game Theory and Computation Seminar, August 2013
  • Composable and Efficient Mechanisms, Dagstuhl Seminar on the Interface of Computation, Game Theory, and Economics, April 2013
  • Information Asymmetries in Common Value Auctions with Discrete Signals, Second Cambridge Area Economics and Computation Day, April 2013

2012

  • Composable and Efficient Mechanisms, Northwestern University, Theory Seminar, December 2012
  • Information Asymmetries in Common Value Auctions: How (not) to sell your Cookies, Fifth New York Computer Science and Economics Day, December 2012
  • Selling Third-Party Information in Common Value Auctions, Barbados, Bellairs Workshop on Algorithmic Game Theory, April 2012
  • Efficiency in Sequential Auctions, International Symposium on Mathematical Programming (ISMP) 2012, August 2012

2011

  • Sequential Auctions and Externalities, Fourth New York Computer Science and Economics Day, September 2011