About

Education

2022.08 ~ present, Cheminformatician, 3billion
2018.03 ~ 2022.03, Integrated MS/Ph.D. student in Physics, KAIST
2018, B.S. in Physics, Seoul National University

Research Interests

• Stochastic Process: Random target searching with interaction.
• Optimization problem as a random target search
• Drug design
• Feminist philosophies of Science.
• Knowledge tracing on science education.

Publications

• M.S. Choi and Y. W. Kim, “ First-passage dynamics by aggregating particles “ Journal of Korean Physical Society 79, 653-659 (2021)
• C. Kim, S. Goh, M.S. Choi, K. Lee, and M.Y. Choi, “ Hub-periphery hierarchy in bus transportation networks: Gini coefficients and the Seoul bus system “ Sustainability 12, 7297 (2020)

Research Experience

• Predict protein-ligand binding structure / affinity using Deep Learning
• Research on the first-passage dynamics of crowded particles in presence of interaction
• Develop Brownian dynamics simulation using C, Python and Rust.
• Optimize Hamiltonian diagonalization of quantum spin model by using BLAS package in Python and Rust.
• Manage a Linux cluster which contains 130 computing nodes

Skills

Languages: Korean, English
Programming: C, Python, Rust (Entry Level: Matlab, Julia, Cuda)
Framework: Pytorch, Airflow, MLFlow