About Me
I am a finishing Ph.D. student at Stanford University in the Operations Research group within the department of Management Science & Engineering, where I am fortunate to be advised by Irene Lo. Before joining Stanford, I received my B.Sc. in Computer Engineering with a minor in Economics from the Sharif University of Technology.
My research focuses on welfare and revenue maximization in stochastic platforms, with a passion for applying theory to promote equitable education. I’m collaborating with San Francisco Unified School District to redesign their elementary school choice system, balancing accessibility with diversity factors. This work is set to be implemented in the 2026-27 school year.
Publications
Optimal lower bounds for universal relation, and for samplers and finding duplicates in streams (STOC 2017) M. Kapralov, J. Nelson, J. Pachocki, Z. Wang, DP. Woodruff, M. Yahyazadeh
Decentralized Matching in a Probabilistic Environment (EC 2021) M. Yahyazadeh, I. Lo, T. Pollner, A. Saberi
Optimization Meets Participation: Iterative Zone Generation for School Assignment (Working Paper) M. Yahyazadeh, K. Mentzer, I. Lo
Designing School Choice for Diversity in the San Francisco Unified School District (Working Paper) I. Ashlagi, I. Lo, K. Mentzer, J. Monardo, H. O’Connell, M. Yahyazadeh
Fellowships & Awards
- Doing Good with Good OR student paper competition finalist at INFORMS 2022
- Recepient of The Heitz Fellowship Fund 2022
- Recepient of The Jerome Kaseberg Doolan Fellowship Fund 2021
- Gold Medal in the 30th Iranian National Mathematics Olympiad 2012
- 10th place in ACM-ICPC West Asia Regional Contest 2014