Alex Psomas
Assistant Professor
Department of Computer Science
Purdue University
email: ''apsomas'' at "cs" dot ''purdue'' dot ''edu''
About
My name is Alexandros Psomas ( I mostly go by Alex ). I am an Assistant Professor in the Department of Computer Science at Purdue University. My research focuses on the intersection of Computer Science and Economics. I apply tools and insights from computer science to study problems in a variety of economic environments. I am broadly interested in algorithmic economics, artificial intelligence, computational social choice and mechanism design, machine learning, as well as algorithmic game theory and theoretical computer science in general.
I completed my PhD in May 2017 in the Theory of Computation group at UC Berkeley, where I was extremely fortunate to be advised by Christos Papadimitriou. I have worked as a Visiting Researcher in the market algorithms group in Google Research (Mountain View) during the Spring and Summer of 2020. I spent Fall 2019 as a Research Fellow at the Simons Institute for the Theory of Computing. Prior to that I spent two wonderful years (2017-2019) as a postdoctoral researcher in the Computer Science Department at Carnegie Mellon University, hosted by Ariel Procaccia.
News
September 2019: Two papers accepted to NeurIPS 2020! One as spotlight!
September 2020: Our paper "Fair Division with Binary Valuations: One Rule to Rule Them All" has been accepted to WINE 2020!
May 2020: Our paper "Fairness-Efficiency Tradeoffs in Dynamic Fair Division" has been accepted to EC 2020!
February 2020: New working papers! See Research.
September 2019: Two papers accepted to WINE 2019!
July 2019: Our paper "WeBuildAI: Participatory Framework for Fair and Efficient Algorithmic Governance" has been accepted to CSCW 2019!
July 2019: Our paper "Risk Robust Mechanism Design for a Prospect Theoretic Buyer" has been accepted to SAGT 2019!
May 2019: Our paper "Achieving a Fairer Future by Changing the Past" has been accepted to IJCAI 2019!
April 2019: Our paper "WeBuildAI: Participatory Framework for Fair and Efficient Algorithmic Governance" will be presented in CI 2019!
April 2019: Our paper "Statistical Foundations of Virtual Democracy" has been accepted to ICML 2019!