Sarah Tan Hui Fen (Sarah) Tan
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I am a researcher interested in algorithmic fairness, causal inference, interpretability, and healthcare. Currently, I am a Director in Responsible AI at Salesforce. 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. 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

  • 10/24: Gave a guest lecture for the University of Southern California’s BUAD 311 “Operations Management” class.
  • 9/24: Gave a guest lecture for the University of Southern California’s ENG 499 “Ethics in Enginerring Design of AI Systems” class.
  • 9/24: Was a panelist on NISS’ 2024 Industry Career Fair.
  • 8/24: Representing Salesforce on a US AI Safety Institute task force.
  • 8/24: Co-organizing 2nd edition of Regulatable ML workshop at NeurIPS 2024. Submit your paper!
  • 7/24: Gave President’s Remarks and mentored a roundtable on interpretability at the 2024 Women in Machine Learning Symposium @ ICML.
  • 6/24: Was a panelist on “Exploring AI Career Pathways” for Girls Who Code’s high school summer immersion program.
  • 5/24: Did a fireside chat in the University of Colorado Denver’s PUAD 6600 “AI for Public Sector Innovation” class.
  • 3/24: Gave a guest lecture for Stanford University’s CS131 “Computer Vision: Foundations and Applications” class.
  • 9/23: Was a panelist at Columbia Business School’s Challenges in Operationalizing Responsible AI workshop.
  • 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.

For other news, click here.

Code & Data

Publications and Preprints

Journal and Conference Papers

Preprints

For older publications and workshop papers, click here.

Service

Miscellaneous

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