Sarah Tan Hui Fen (Sarah) Tan
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I'm a PhD student at Cornell Statistics, minoring in Computer Science. I'm also currently a visiting student at UCSF and based in the SF Bay Area. Broadly, I work on interpretability of machine learning methods. I'm also interested in algorithmic fairness, healthcare applications, and causal inference.

I'm advised by Giles Hooker and Martin Wells, and Thorsten Joachims and Rich Caruana are on my committee. Previously, I studied at Berkeley and Columbia, and worked in public policy 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 summers 2017 and 2018 at Microsoft Research, working with Rich Caruana, Kori Inkpen, and Ece Kamar. I'm on the board of the Women in Machine Learning organization.

Contact

I’m currently based in the SF Bay Area. You can reach me at ht395 AT cornell DOT edu.

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Preprints

Publications

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Miscellaneous

  • I played piano and (bad) ukulele in an Indian fusion carnatic band. We have some videos here