Hi, I am Jinwon Sohn from South Korea and currently I am a Principal Researcher at the University of Chicago Booth under the supervision of Prof. Veronika Rockova. I earned my Ph.D. in Statistics at Purdue University under the supervision of Prof. Qifan Song and master degree at Yonsei University under Prof. Taeyoung Park. Before entering the Ph.D. program, I worked at Datarize as a data scientist, contributing to evaluating recommendation models. During the Ph.D. program, my research has focused on integrating fairness-aware machine learning and generative modeling from statistical perspectives. Plus, with active collaboration research, I have been expanding my research areas such as differential privacy and Bayesian statistics. Including the aforementioned topics, I am also interested in developing statistical methodologies harnessing synthetic data ultimately toward trustworthy statistical inference.

Research Interests 💡

• Fairness-aware Machine Learning, Generative Modeling, Bayesian Statistics, Differential Privacy, Principal Curve

News ⭐

• [Oct 2025] Sohn, J., Song, Q., & Lin, G. Task-tailored Pre-processing: Fair Downstream Supervised Learning. Under revision in Transactions on Pattern Analysis and Machine Intelligence.

• [Oct 2025] My daughter Yena Sohn was born! 참 고생 많았다 Sangmi!

• [Sep 2025] Lim, T., Nam, K., and Sohn, J. Monotone Curve Estimation with Convex Duality. Under R&R in Journal of American Statistical Association

• [July 2025] Jinwon Sohn joined Chicago Booth as a postdoc under the supervision of Prof. Veronika Rockova.

• [Jan 2025] Lim, T., Nam, K., and Sohn, J. Monotone Curve Estimation with Convex Duality is now available at arxiv.

• [Nov 2024] Jinwon Sohn will present a talk at Graduate Student Workshop hosted by Statistics at Purdue. Title: Parallelly Tempered Generative Adversarial Networks.

• [Nov 2024] Sohn, J. and Song, Q. Parallelly Tempered Generative Adversarial Networks.. This is under revision for the special issue (Statistical Science in Artificial Intelligence) in Journal of American Statistical Association.

• [May 2024] Jinwon Sohn is selected for 2024-2025 Ross Lynn Research Scholar Grant for Statistics at Purdue University.

Recent Publications 📚

• Sohn, J., Song, Q., & Lin, G. (2024). Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes. AISTAT (pp. 1594-1602). PMLR.
• Kang, T., Kim, S., Sohn, J., & Awan, J. (2024). Differentially Private Topological Data Analysis. Journal of Machine Learning Research.
• Sohn, J., Jeong, S., Cho, Y. M., & Park, T. (2023). Functional Clustering Methods for Binary Longitudinal Data with Temporal Heterogeneity. Computational Statistics & Data Analysis, 185, 107766.