Hwanwoo Kim

I am a postdoctoral associate in the statistical science department at Duke University working with Eric Laber and Simon Mak. Previously, I obtained my Ph.D. degree in computational math from University of Chicago, where I worked on statistical inverse problems under the guidance of Daniel Sanz-Alonso and stochastic approximation/optimization with Panos Toulis.

My research interests broadly lie in developing computational/statistical tools for Bayesian/probabilistic modeling, various types of experimental designs, and sequential decision-making. I am also keen to utilize existing methodological tools to tackle scientific problems arising from domain sciences.

Research Keywords:

• Bayesian Inference, Simulation-based Inference, Uncertainty Quantification
• Stochastic Approximation/Optimization for Reinforcement Learning and Statistical Inference
• Gaussian Process, Kernel Methods, Probabilistic Numerics
• Active Learning, Statistical Experimental Design
• Applications in Biomedical, Physical Sciences, and Engineering