About

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

• Urban Computing
• Transfer Learning
• Data Science & Applications

Education

• PhD, Information Science, University of Washington, 2020-Present
• M.S., Statistical Science, Duke University, 2018-2020
• B.S., Applied Statistics, Purdue University, 2015-2018
• B.S., Economics, Purdue University, 2015-2018

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