Edvard Bakhitov

I hold a Ph.D. in Economics from the University of Pennsylvania, under the supervision of Amit Gandhi. My research focused on combining modern machine learning with economic theory to enable flexible, nonparametric estimation in settings with endogeneity — most notably in differentiated product demand models.

Previously, I worked on experimentation and causal inference with the Central Applied Science team at Meta. There, I developed methods for obtaining unbiased treatment effect estimates in the presence of interference. Some of this work was featured at the Conference on Digital Experimentation at MIT (CODE@MIT).