I am a founding Data Science Engineer at Monocole with an interest in the intersection between causal inference and machine learning. I have strong technical skills in econometrics (Ph.D. Economics) and experience writing production code. I am interested in solving important business problems by building out robust, scalable systems. Previously I was a Staff Data Scientist at Lyft.
Buzzwords: Causal Inference, Heterogenous Treatment Effects, User-Level Targeting