Bin Han



I am currently a third year PhD student in the Department of Information Science at University of Washington, Seattle. I am supervised by Dr. Bill Howe on Urban Computing, Synthetic Data, and Tranfer Learning. I’m also collaborating with Dr. Meliha Yetisgen on applicational works in clinical domain.

Prior to UW, I pursued two B.S. degrees in Applied Statistics and Economics at Purdue University. I earned my M.S. degree in Statistical Science at Duke University, where I was supervised by Dr. Cynthis Rudin on interpretable machine learning in recidivism prediction. I also worked with Dr. Michael William Lutz on bioinformatics project.

Research Interests


I enjoy music, cross fit, Olympic weight lifting, and skiing!