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 social and biomedical sciences.

Research Keywords:

• Bayesian/Stochastic Optimization, Probabilistic Numerics
• Bayesian Inference, Uncertainty Quantification
• Dynamic Treatment Regime, Statistical Reinforcement Learning
• Computer Experiments, Online Experiments