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Academic Achievements
- Paper 'Node Classification via Simplicial Interaction with Augmented Maximal Clique Selection' accepted for publication in Neurocomputing.
- New paper 'Robust Intervention in Networks' has appeared, co-authored with Daeyoung Jeong and Euncheol Shin.
- New paper 'Data denoising with self consistency, variance maximization, and the Kantorovich dominance' has appeared, co-authored with Joshua Hiew, Brendan Pass, and Marcelo Souza.
- New paper 'Monotone Curve Estimation via Convex Duality' has appeared.
Research Experience
Serves as an assistant professor in Quantitative Methods at the Mitch Daniels School of Business, Purdue University.
Background
Tongseok Lim is an assistant professor in Quantitative Methods, Mitch Daniels School of Business at Purdue University. His research interests include (i) (Martingale–) Optimal Transport in multi-dimensions and its applications to Economics, Finance and Statistics, (ii) Analysis of Variational problems arising in Physics, Geometry and Data Science, and (iii) Hodge Theory on graphs and its connection with Stochastic Calculus and Game Theory.
Miscellany
Quotes Psalm 133:1: 'Behold, how good and pleasant it is when brothers dwell in unity!'