I am a Postdoctoral Research Scholar in the Future Faculty Program of UIUC, mentored by Ruta Mehta and Jugal Garg.  I am mostly interested in (i) resolving fundamental questions  in computational social choice and (ii) integrating concepts in social choice and machine learning.

I have worked extensively on resolving open problems on fairness in resource allocation and task distribution, algorithmically.  In this process, I have also shown intriguing connections between social choice theory and seemingly unrelated areas in theoretical computer science like zero-sum combinatorics and extremal graph theory. My work also transfers  age old techniques from social choice theory and general equilibrium theory to relevant settings in machine learning like fairness aware classification and federated learning.

In the long run, I aspire to build a  unified theory of fairness, encompassing the long-standing literature on fairness in justice, philosophy, economics, computer science, and  machine learning.

I also pursue computational geometry and fine grained complexity theory as my secondary research interests.

Prior joining University of Illinois at Urbana Champaign, I did my doctoral studies at the Max Planck Institute for Informatics, where I was fortunate to be supervised by Kurt Mehlhorn and Karl Bringmann. Here is my full C.V.

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