Sarah Tan Hui Fen (Sarah) Tan
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I recently defended my dissertation and started as a research scientist at Facebook. I received my PhD from Cornell Statistics, where I was advised by Giles Hooker and Martin Wells, with Thorsten Joachims and Rich Caruana on my committee. During the later years of my PhD studies, I was based in the SF Bay Area where I was a visiting student and bioinformatics programmer at UCSF.

Broadly, I work on interpretability of machine learning methods. I'm also interested in algorithmic fairness and causal inference. I particularly enjoy working on methods useful for healthcare and public policy.

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 two summers 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.

News

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Code & Data

Publications and Preprints

Preprints

Journal and Conference Papers

Posters and Workshop Papers

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Service

Miscellaneous

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