Meryem Essaidi

I am a Postdoctoral Researcher at the Berkeley Institute for Data Science, working with Jennifer Chayes and Christian Borgs.

My research lies at the intersection of theoretical computer science and economics. I am primarily interested in algorithmic game theory, mechanism design, and stochastic optimization. I design incentive-aware algorithms with provable guarantees on both efficiency and equity. I've worked on auction design, multi-dimensional mechanism design, market regulation, and algorithmic fairness. Recently, I've been working on optimal resource allocation in redistribution networks and algorithm design for decentralized markets.

Before joining Berkeley, I completed my PhD in Theoretical Computer Science at Princeton University, where I was very fortunate to be advised by Matt Weinberg. Prior to that, I graduated from the University of Pennsylvania with a BSE and MSE in Computer Science, with minors in Mathematics and Economics, where I was also fortunate to have worked with Boon Thau Loo, and advised by Max Mintz.