Yuxin Chen @ UChicago

I am an assistant professor at the Department of Computer Science at the University of Chicago. Previously, I was a postdoctoral scholar in Computing and Mathematical Sciences at Caltech, hosted by Prof. Yisong Yue. I received my Ph.D. degree in Computer Science from ETH Zurich, under the supervision of Prof. Andreas Krause. I am a recipient of the PIMCO Postdoctoral Fellowship in Computing and Mathematical Sciences, a Swiss National Science Foundation Early Postdoc.Mobility fellowship, and a Google European Doctoral Fellowship in Interactive Machine Learning.

My research interest lies broadly in probabilistic reasoning and machine learning. I am currently working on developing interactive machine learning systems that involve active learning, sequential decision making, interpretable models and machine teaching. You can find more information in my Google scholar profile.

Prospective students: I am looking for highly motivated students to join my group in Fall 2020! Please apply to the PhD program in Computer Science at UChicago. See more information here.

News

November 22, 2019: Giving a talk at IPAM Workshop at UCLA.
November 4, 2019: Giving a talk at TTIC Colloquium.
October 24, 2019: My introductory profile at UChicagoCS by Rob Mitchum.
October 4, 2019: New research project opening; apply here.
September 4, 2019: Three papers accepted by NeurIPS'19.
May 1, 2019: Starting Fall 2019, I will be joining UChicago CS as an assistant professor.
February 14, 2019: Co-organizing the 2nd Caltech AI4Science workshop.
August 1, 2018: Co-organizing the Caltech AI4Science inaugural workshop. Check out details here.

Education

Swiss Federal Institute of Technology, Zurich, Switzerland
Ph.D., Computer Science, February 2017
Advisor: Dr. Andreas Krause

The University of Kansas, Lawrence, Kansas USA
M.Sc., Computer Science, July 2011
Advisor: Dr. Bo Luo

University of Science and Technology of China, Hefei, Anhui, P.R.China
B.E., Electronic and Information Engineering, July 2009
Graduated from the Special Class for Gifted Young
Advisor: Dr. Nenghai Yu