Weiwei Pan

Weiwei Pan

IACS Postdoctoral Researcher
Master of Science in CSE, 2017
Weiwei Pan
Weiwei received her Ph.D. in pure math from Wesleyan University, where she specialized in higher categorical structures in algebraic topology, and her post-doctoral work at Goettingen Unversity involved categorification of knot invariants. At Harvard, Weiwei works with Finale Doshi-Velez on developing principled methods for addressing non-identifiability in machine learning models. She also works with Pavlos Protopapas on a number data science projects. Weiwei is also interested in applications of geometry and topology in machine learning.

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