2002 – 2009 Ph.D. in Chemistry, University of Pennsylvania, USA (Prof. Jeffery G. Saven)
1996 – 1998 M.S. in Chemistry, Yonsei University, Korea (Prof. Yong-Rok Kim)
1992 – 1996 B.S. in Chemistry, Yonsei University, Korea
Experience
2024.3 – Present Associate Professor, SKKU Advanced Institute of Nano Technology (SAINT) & Department of Nano Engineering, Sungkyunkwan University (SKKU), Korea
2014.4 – 2024.2 Research Staff Member, Computational Biology Center, IBM T.J. Watson Research Center, USA
2011.3 – 2014.4 Postdoctoral Research Fellow, Computational Biology Center, IBM T.J. Watson Research Center, USA (Prof. Ruhong Zhou)
2010.2 – 2011.3 Postdoctoral Research Fellow, Department of Chemistry, University of Pennsylvania, USA (Prof. Jeffery G. Saven)
1998.10 – 2002.1 Full-time Instructor, Department of Chemistry, Republic of Korea Air Force Academy, Korea
1997.10 – 1998.10 Research Assistant, Quantum Optics Group, Korea Research Institute of Standards and Science (KRISS), Korea
Journal Articles
(2025)
Intersection-Free Fractal-Like Structuring of Recombinant Adhesive Proteins for Surface Functionalization.
NANO LETTERS.
25,
33
(2025)
The lipid bilayer strengthens the cooperative network of membrane proteins.
SCIENCE ADVANCES.
11,
27
(2024)
Unsupervised and supervised AI on molecular dynamics simulations reveals complex characteristics of HLA-A2-peptide immunogenicity.
BRIEFINGS IN BIOINFORMATICS.
25,
1
Honors / Awards
Outstanding Accomplishments, “Pioneering Foundation Models and Generative AI for Accelerated Discovery”, IBM, 2023.
Outstanding Technical Achievement Award (the highest technical achievement award of the Global IBM), “Molecular Modeling for Alzheimer’s Disease”, IBM, 2019.
Outstanding Technical Achievement Award, “Linear Response Method for Drug Discovery”, IBM, 2018.
Outstanding Technical Achievement Award, “Advances in Protein Science Powered by Blue Gene”, IBM, 2016.
Outstanding Technical Achievement Award, “De novo Design of Nanomedicine: Implications from Nanotoxicity”, IBM, 2014.
Conference Paper
(2025)
Structure-aware generative AI for drug discovery: enhancing ligand–target compatibility through in-pocket 3D graph learning.
The 19th Conference of Asian Crystallographic Association.
TAIWAN
(2024)
SPARK: harnessing human-centered workflows with biomedical foundation models for drug discovery.
International Joint Conferenceon Artificial Intelligence.
KOREA, REPUBLIC OF
