I am a first-year PhD student at MIT, advised by Bailey Flanigan. My recent work is focused on making the selection of citizens' assemblies fairer and more manipulation-robust, in addition to exploring and avoiding paradoxes in voting theory.
I received a master's degree in computer science from ETH Zürich, where I was co-advised by Bernd Gärtner and Ariel Procaccia for my thesis at Harvard. Previously, I completed my bachelor's degree in computer science at Carnegie Mellon University, where I worked with Nihar Shah on methods for aggregating crowdsourced evaluations and incentives in peer review.
Alternates, Assemble! Selecting Optimal Alternates for Citizens' Assemblies
Angelos Assos, Carmel Baharav, Bailey Flanigan, Ariel Procaccia
EC 2025
Condorcet Winners and Anscombe’s Paradox Under Weighted Binary Voting
Carmel Baharav, Andrei Constantinescu, Roger Wattenhofer
AAMAS 2025
Fair, Manipulation-Robust, and Transparent Sortition
Carmel Baharav and Bailey Flanigan
EC 2024
Allocation Schemes in Analytic Evaluation: Applicant-Centric Holistic or Attribute-Centric Segmented?
Jingyan Wang, Carmel Baharav, Nihar B. Shah, Anita Williams Woolley, R Ravi
HCOMP 2022
A Game Theoretic Approach to Peer Review Bidding (poster, writeup for 15-888)
a Summer Undergraduate Research Fellowship (SURF 2021) project supervised by Nihar Shah
Contact Information. "c"+"last name"@mit.edu