Our lab advances predictive computational mechanics by leveraging multiphysics modeling and physics-informed machine learning to understand complex material behavior across engineering materials, soft matter, and living systems. We develop robust computational frameworks grounded in fundamental mechanics, enabling interpretable predictions for diverse engineering and biological applications.

Purdue University, Ph.D. in Mechanical Engineering, 2020
Sungkyunkwan University, M.S. in Mechanical Engineering, 2016
Sungkyunkwan University, B.S. in Mechanical Engineering, 2014

Associate Professor of Mechanical Systems Engineering at Myongji University, 2025-present
Assistant Professor of Mechanical Engineering at Myongji University, 2021-2025
Staff Engineer at Mechatronics R&D Center, Samsung Electronics Co., Ltd, 2020-2021
Graduate Research Assistant, Purdue University, 2016-2020
Visiting Student (sponsored by BK21 plus), University of Washington at Seattle, Summer 2015
Graduate Research Assistant, Sungkyunkwan University, 2014-2016
Undergraduate Research Assistant, Sungkyunkwan University, Fall 2013

Yamaguchi Medal in the field of tissue biomechanics, Asian-Pacific Association for Biomechanics, 2023
KSEA-KUSCO Graduate scholarship, Korean-American Scientists and Engineers Association, 2020
KSEA/KOSEN best poster award, UKC 2019, 2019
Excellence award for oral presentation, School of Mechanical Engineering, Sungkyunkwan University, 2016
Outstanding thesis award, Sungkyunkwan University, 2016
Academic merit-based scholarship, Sungkyunkwan University, (Spring 2013, Spring 2009)

대한기계학회, 정밀공학회, 대한생체역학회

Improving Reconstructive Surgery through Computational Modeling of Skin Mechanics, Dissertation for Ph.D., 2020
A Direct Methodology for Prediction of Creep Life Based on Small Punch Creep Test, Thesis for M.S., 2016