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PhD student in Mathematics

University of Massachusetts Amherst, MA, US

• Research assistant
• Specializing in Mathematical modeling
• Advised by Markos Katsoulakis
• Current GSAC member - TWIGS coordinator

MSc in Mathematics

Ewha Womans University, Seoul, Republic of Korea

• Thesis title "Convolutional Neural Network for 2D Flow Estimation Problem"
• Specializing in Numerical analysis
• Advised by June-Yub Lee

BSc in Mathematics

Ewha Womans University, Seoul, Republic of Korea

• Major in Mathematics and Computational Science
• Minor in Statistics

Graduate research assistant

University of Massachusetts - Amherst, Amherst, MA, US

• Developed a particle transportation algorithm and implemented the algorithm as a generative model.
• Improved the base model by autoencoders and and proved a sufficient condition for the convergence of the improved model.

Graduate teaching assistant

University of Massachusetts - Amherst, Amherst, MA, US

• TA for M545 (Linear Algebra for Applied Math), M235 (Linear Algebra), M532H (Nonlinear Dynamics & Chaos with Applications).
• Hosted discussion sessions, delivered mini-courses for Python ODE solving tutorials, and graded weekly assignments.

Post-master's researcher

Ewha Womans University Seoul Hospital, Seoul, Korea

• Constructed a pipeline for gene expression data analysis using R and created a documentation.
• Trained medical school graduate students to conduct statistical analysis using R.

Graduate research assistant

Ewha Womans University, Seoul, Korea

• Trained CNN to estimate a physical state variable from 2D flow velocity fields.

Lipschitz regularized generative particles algorithm

• Implementation of a particle transportation algorithm through gradient flows associated with Lipschitz regularized f-divergences.
• A generative model alternative to GANs in low training data regimes.
• Mathematical interpretation of applying spectral normalization on neural network discriminators as a particle transportation speed regularization.