Scholar
Sarah Tan
Google Scholar ID: _tSKmPYAAAAJ
Salesforce / Cornell University
Citations & Impact
Citations
1,370
H-index
14
i10-index
16
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published papers in various journals and conferences such as NAACL, NeurIPS, KDD, etc.; co-organized workshops like the 2nd and 3rd editions of Regulatable ML workshop at NeurIPS 2024 and 2025; gave guest lectures at several academic institutions.
Research Experience
- Spent summers at Microsoft Research; towards the end of her PhD studies, she was a visiting student and bioinformatics programmer at UCSF medical school; joined Facebook after completing her PhD, working in Central Applied Science before moving to Responsible AI; interested in startups, having been part of the founding team as a data scientist at an NLP startup pre-PhD.
Education
- PhD in Statistics from Cornell University, advised by Giles Hooker and Martin Wells, with Thorsten Joachims and Rich Caruana on her committee; previously studied at Berkeley and Columbia, worked in public policy in NYC, including the health department and public hospitals system.
Background
- Research interests include AI safety, causal inference, interpretability, and healthcare. Currently a Principal Research Scientist at Salesforce and a Visiting Scientist at Cornell University in the College of Computing and Information Science.
Miscellany
- Contact: ht395 AT cornell.edu; has broad interests, including involvement in startups and technical exchange activities.
