Christian Ikeokwu

PhD Student in Computer Science, EECS, University of California, Berkeley


I’m a 3rd-year PhD student in the Theory Group and Berkeley AI Research (BAIR), fortunate to be advised by Christian Borgs and Jennifer Chayes.

I’m broadly interested in theoretical computer science, artificial intelligence and mathematical economics. Most recently, graph theory, algorithmic game theory, statistical learning and their various intersections.

I also think about how tools and techniques from TCS, AI and economic design can yield insights about important societal problems.

Before Berkeley, I graduated from Oberlin College with a BA in Mathematics and Computer Science, and I’m extremely grateful for the mentorship of Adam Eck and Sam Taggart during my undergraduate years.

news / upcoming

Jun 19, 2023 I have been selected to join the Berkeley AI Policy Hub this coming Fall!
May 2, 2023 I’m presenting at the Rising Stars in MS&E Workshop at Stanford, CA.
Jul 14, 2022 I was awarded a Hearts to Humanity Eternal (H2H8) graduate research grant for my work in graph theory and AI.

selected publications

  1. EAAMO
    Disincentivizing Filter Bubbles in Social Networks
    Christian BorgsJennifer ChayesChristian Ikeokwu, and Ellen Vitercik
    In ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization, 2023
  2. AAAI
    An Algorithmic Introduction to Savings Circles
    Rediet AbebeAdam EckChristian Ikeokwu, and Samuel Taggart
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2022