I joined Meta in September of 2016. I have an MA in Statistics from UC Berkeley. Prior to joining Meta, I worked on Fraud Detection and I was a Quant Researcher at a hedge fund. At Meta, I work on utilizing graph structure to improve the performance of supervised learning techniques; I also work on prevalence estimation and graph clustering. I have a passion for applying mathematical and especially probabilistic techniques to solve real-world problems.
Probabilistic computing, machine learning, and statistical estimation.