Sarah Tan Hui Fen (Sarah) Tan
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I am a research scientist at Facebook, working on safe and robust experimentation and causal inference. I am also interested in interpretability and algorithmic fairness. 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. I am on the board of the Women in Machine Learning organization. I recently co-founded the Trustworthy ML Initiative.

Previously, I studied at Berkeley and Columbia, and worked in public policy in NYC, including the health department and public hospitals system. I was also a Data Science for Social Good fellow. I was fortunate to spend summers at Microsoft Research, working with Rich Caruana, Kori Inkpen, and Ece Kamar. Towards the end of my PhD studies, I was a visiting student and bioinformatics programmer at UCSF medical school.

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

For older publications and posters, click here.

Service

Miscellaneous

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