Hwanwoo Kim

I am an Assistant Professor in the Department of Mathematical Sciences at the University of Texas at Dallas. Before joining UT Dallas, I was a postdoctoral associate in the Department of Statistical Science at Duke University, where I worked with Eric Laber and Simon Mak. I received my Ph.D. in Computational and Applied Mathematics from the University of Chicago, where I worked on statistical inverse problems under the guidance of Daniel Sanz-Alonso and stochastic optimization with Panos Toulis.

My research focuses on developing and analyzing computational and statistical methods for probabilistic modeling and sequential decision-making. I am also interested in applying these methods to scientific problems across various disciplines.

Research Keywords:

• Uncertainty Quantification, Kernel Methods/Gaussian Processes
• Sequential Decision Making, Reinforcement Learning
• Derivative-Free Optimization, Statistical Inverse Problem
• Stochastic Approximation, Online Statistical Inference