Contact emeigs at mit.edu
I am a third-year doctoral candidate at the MIT Operations Research Center, advised by Professor Asu Ozdaglar. I earned my BS in Computer Science and my BA in Computational and Applied Mathematics from Rice University.
My research interests are in optimization, game theory, online learning, and information design. Currently, I am focusing on improving efficiency in road traffic networks through information.
I have previously worked on projects in ad-hoc network self-scheduling communication algorithms (at MIT Lincoln Labs), epileptic seizure prediction (Digital Cure for Epilepsy at Rice), and baseball analytics (Rice CS). I have also interned at Blackbaud Inc., a company that creates software for non-profits.
Learning dynamics in stochastic routing games
with F. Parise, A. Ozdaglar
Allerton Conference on Communication, Control, and Computing, 2017.
Iterated prisoner’s dilemma with extortionate zero-determinant strategies and random-memory opponents
with F. Kenter
IEEE Congress on Evolutionary Computation (CEC), 2016.
Optimal information provision in traffic networks
with D. Acemoglu, A. Makhdoumi, A. Malekian, A. Ozdaglar, F. Parise.