Sarah Tan Hui Fen (Sarah) Tan
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I am a research scientist interested in algorithmic fairness, causal inference, interpretability, and healthcare. Currently, I work at Cambia Health on emerging aspects of machine learning, including responsible AI and large language models. I also hold a Visiting Scientist appointment at Cornell University. I co-founded the Trustworthy ML Initiative and am president of Women in Machine Learning (WiML).

I received my PhD in Statistics from Cornell University, where I was advised by Giles Hooker and Martin Wells, with Thorsten Joachims and Rich Caruana 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. 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. I joined Facebook after completing my PhD, and worked in Core Data Science before moving to Responsible AI.

Contact

I’m currently based in Seattle. You can reach me at ht395 AT cornell.edu.

News

  • 9/23: I was a panelist at Columbia Business School’s Challenges in Operationalizing Responsible AI workshop.
  • 7/23: I will be co-organizing a workshop at NeurIPS 2023 on Regulatable ML. Submit your paper!
  • 1/23: I have been elected president of the Women in Machine Learning organization (WiML).
  • 1/23: I will be the Tutorial Chair for FAccT 2023.
  • 9/21: I will be the Diversity & Inclusion Chair for AISTATS 2022.
  • 10/19: I gave a talk at Data & Society’s Meeting on Fair ML in Health about risk scoring models in healthcare.
  • 7/19: I had a blast helping out with UCSF’s AI4ALL program! I presented on dataset bias and helped mentor a project team using electronic medical records to predict opioid overdose and other conditions.
  • 3/19: I’m excited to help teach the new ML for biomedicine course at UCSF. This is perhaps the first official ML course at UCSF and I’m looking forward to teaching again!
  • 6/18: Honored to receive a Microsoft Research Dissertation Grant.
  • 6/17: Grateful to receive the American Statistical Association Wray Jackson Smith Award

For other news, click here.

Code & Data

Publications and Preprints

Journal and Conference Papers

Preprints

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