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:

• Uncertainty Quantification, Probabilistic Numerics, Gaussian Process
• Stochastic Approximation, Stochastic Gradient Descent for Reinforcement Learning and Statistical Inference
• Bayesian Inference, Likelihood-free Inference, Variational Inference
• Applications in Biomedical, Physical Sciences, and Engineering