Zied Ben Chaouch

Zied Ben Chaouch is a Ph.D. candidate in MIT's Electrical Engineering and Computer Science department, working under the supervision of Professor Andrew Lo at the Laboratory for Financial Engineering. After earning his undergraduate degree in Mathematics and Physics from McGill University in 2014, he completed his Master's at MIT studying opinion dynamics and network consensus under Professor John Tsitsiklis. His research spans risk management, asset pricing, portfolio theory, machine learning, and healthcare finance, with recent work focusing on empirical asset pricing and Bayesian decision analytics for healthcare applications. His teaching excellence was recognized with the Frederick C. Hennie II Teaching Award from MIT's EECS department for his contributions as a TA in probability courses and creating a math camp for incoming doctoral students. Beyond academia, he has published influential papers on COVID-19 vaccine allocation strategies, patient-centered clinical trials, and healthcare finance. His work combines sophisticated mathematical modeling with practical applications in finance and healthcare, reflecting his interdisciplinary background in physics, mathematics, and computer science.