Hui Fen (Sarah) Tan

Sarah Tan
Hui Fen (Sarah)
Department of Statistics and Data Science

I'm a PhD student at Cornell Statistics and Data Science, minoring in Computer Science. I'm advised by Giles Hooker and Martin Wells, and Thorsten Joachims is on my committee. Previously, I studied at Berkeley and Columbia, and worked in startups and nonprofits in NYC, including the health department and public hospitals system. In 2014, I was a Data Science for Social Good fellow. I spent summer 2015 at Xerox Research (now Naver Labs) and summer 2017 at Microsoft Research Redmond, working with Rich Caruana

Broadly, I work on inference and interpretability of machine learning methods, in particular tree ensembles, and causal inference. I particularly enjoy working on methods useful for healthcare and public policy.

Please see my website for more info.