I am working at the intersection of optimization algorithms and statistical - machine - learning and their applications to healthcare and sustainability.
I received my Ph.D. from the Operations Research Center at MIT in September 2018. My dissertation on Dynamic Matching Algorithms studies how to improve patient outcomes in kidney exchange, and how to reduce miles travelled through better carpooling.
Ph.D. in Operations Research from MIT.
I had the privilege to work with Professors. Patrick Jaillet (MIT LIDS) and Itai Ashlagi (Stanford MS&E). My research focused on developing data driven matching algorithms in dynamic settings. I am specifically interested in the cases where there is uncertainty on future arrivals of agents, such as matching optimization for kidney exchange programs.
I also have a strong interest in designing two-sided platforms that discourage free-riding of agents and lead to optimal allocations in a decentralized way, as well as statistical learning, data-driven optimization, online and reinforcement learning with applications to healthcare.
M.Sc. from École Polytechnique
Prior to joining MIT, I graduated from École Polytechnique with a Master of Science degree in Applied Mathematics (with a focus on Probability theory, Operations Research and Machine learning).