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Research Scientist, Responsible AI
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Sarah Tan
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2025-12-16 13:05:30
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Sarah Tan Sarah Tan About News Publications Contact Hui Fen (Sarah) Tan Google Scholar LinkedIn Github 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, working with Rich Caruana , Kori Inkpen , and Ece Kamar . Towards the end of my PhD studies, I was a visit...
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