Vikram Kher

Vikram Kher

1st Year PhD Student

Yale University

I am a 1st year PhD student in the Yale Theory Group. My research focuses on algorithm design and its interface with problems in economics and social choice. My overarching research goals are to: (1) develop theoretical models of economic and social exchanges that more closely mimic real-life human interactions, (2) create algorithms with robust theoretical guarantees for equitable outcomes.

During my undergrad at USC, I was fortunate to work with Prof. David Kempe on algorithms for fair committee elections and with Prof. Assad Oberai on using machine learning to predict COVID-19 disease severity. In 2022, I participated in the DIMACS REU, where I worked with Dr. Ariel Schvartzman on topics in auction theory.

Interests
  • Algorithm Design
  • Game Theory
  • Auction Theory
  • Computational Social Choice
Education
  • PhD in Computer Science, 2028 (Expected)

    Yale University

  • BS in Computer Science, Summa Cum Laude, 2022

    University of Southern California

  • BA in Applied and Computational Mathematics, Summa Cum Laude, 2022

    University of Southern California

Publications

(2023). Fine-Grained Buy-Many Mechanisms Are Not Much Better Than Bundling. Proceedings of the 24th ACM Conference on Economics and Computation.

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(2021). Machine learning based predictors for COVID-19 disease severity. Journal of Scientific Reports.

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