Learning Efficient Interpretable Policies on Experimental Data
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Hanson Wang, Daniel Jiang, Adam Obeng, Eytan Bakshy
I am a Research Scientist on the Core Data Science team at Meta. My current research interest lies in interpretable model understanding. Before joining Meta, I received my PhD in statistics and operations research from UNC-Chapel Hill, where my advisors and I did research in subspace clustering and computational biology.
Interests
Product algorithms, data science, applied machine learning