About me

Hi, I am Jin Hyung Lee, a Postdoctoral Researcher at the Department of Statistics at Purdue University, working with Professor Anindya Bhadra.

I received my Ph.D. in Statistics from the Department of Statistics at George Mason University in October 2025, under the supervision of Dr. Ben Seiyon Lee. During Summer 2023 and Summer 2024, I worked as a biostatistician intern at Astellas Pharma US, where I applied Bayesian methods to improve efficiency and rigor in clinical trial design and analysis.

Prior to my Ph.D., I worked as a Senior Researcher at the Korea International Trade Association, gaining industry experience in applied research. I received an M.S. in Biostatistics from the School of Public Health at Seoul National University under the supervision of Dr. Ho Kim, and a B.A. in Applied Statistics and Economics from Yonsei University.

My research develops scalable variational Bayes methods for massive non-Gaussian spatial data. I design fast and accurate inference methods for problems where traditional MCMC is computationally infeasible. My work combines Bayesian statistics with neural networks and generative models. These methods enable efficient analysis of complex data in environmental science, clinical trials, and economics.

Research Interests

• Variational Inference, Normalizing Flows, Neural Network, Bayesian Statistics, Spatial Statistics, Functional Data Analysis

News

• [Aug 2026] Jin Hyung Lee presented “A Scalable Variational Approach for Modeling Multivariate Spatial Data with Variational Inference Normalizing Flows” at Joint Statistical Meeting (JSM) 2026.
• [Aug 2026] Jin Hyung Lee successfully taught STAT 517 (Introduction to Statistical Theory and Inference) and received a teaching evaluation of 4.61/5.00.
• [Mar 2026] Jin Hyung Lee presented “A Scalable Variational Bayes Approach for Fitting Non-Conjugate Spatial Generalized Linear Mixed Models via Basis Expansions” at Eastern North American Region (ENAR) 2026.
• [Oct 2025] Jin Hyung Lee joined the Department of Statistics at Purdue as a Postdoctoral Researcher under the supervision of Prof. Anindya Bhadra.
• [Oct 2025] Jin Hyung Lee successfully defended his thesis Variational Approximations for Massive Spatial Data: Scalable Bayesian Inference on October 21st. He would like to express his sincere gratitude to Dr. Ben Seiyon Lee for his support.

Awards

• [Jan 2025] Korean International Statistical Society (KISS) Outstanding Student Paper Competition Awardee, Korean International Statistical Society
• [Oct 2024] ENVR Travel Award to NCAR, American Statistical Association (ASA)
• [Aug 2024] R. Clifton Bailey Travel Award, Department of Statistics, George Mason University
• [Aug 2024] Graduate Student Travel Fund Award, George Mason University
• [May 2023] Distinguished Service and Leadership Award, Department of Statistics, George Mason University
• [Aug 2023] Graduate Student Travel Fund Award, George Mason University
• [Apr 2023] Second Place Poster Presentation Award, UMBC Probability and Statistics Day