Hui Fen (Sarah) Tan

Sarah Tan
Hui Fen (Sarah)
Fourth Year PhD

I am a PhD student at Cornell Statistics, minoring in Computer Science. Broadly, I work on inference and interpretability of machine learning methods, in particular tree ensembles, and causal inference. I am 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. In 2014, I was a Data Science for Social Good fellow. I spent summer 2015 at Xerox Research in the machine learning group. I will be at Microsoft Research Redmond this summer.

Please see my website for more info.