Wonjun Lee is an applied mathematics researcher and assistant professor at The Ohio State University with a decade of experience focused on optimal transport, mean field games, and machine learning. He holds a PhD in Applied Mathematics from UCLA and a BS in Applied Mathematics and Mathematical Statistics from George Mason University, blending rigorous theory with computational practice. His work translates sophisticated PDE- and probability-based methods into practical algorithms for large-scale, interacting-agent systems. Based in Columbus, Ohio, he brings academic leadership and mentoring to graduate students while actively exploring interdisciplinary applications of optimal transport in ML. An understated strength is his ability to bridge deep mathematical analysis with implementable models that scale beyond toy problems.
10 years of coding experience
Doctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at University of California, Los Angeles
Bachelor of Science (B.S.), Applied Mathematics and Mathematical Statistics, Bachelor of Science (B.S.), Applied Mathematics and Mathematical Statistics at George Mason University
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