Jaehyeok Jin

Research

Many of nature’s most important chemical and biological phenomena emerge far from equilibrium across broad spatial and temporal scales. Yet, connecting molecular interactions to emergent larger-scale (“mesoscale”) structures and collective behavior remains one of the central challenges, limiting our ability to predict and ultimately control complex materials and living systems.

The Jin group develops predictive multiscale theories and computational methods to uncover how molecular principles give rise to mesoscale assembly and organization in materials and biophysical systems, particularly under far-from-equilibrium conditions. At the intersection of chemistry, physics, materials science, and artificial intelligence, we integrate large-scale molecular simulations, bottom-up coarse-graining, field-theoretic methods, and machine learning to advance our ability to predict and control complex chemical phenomena. These non-equilibrium coarse-graining approaches enable predictive studies of material growth on surfaces, biomolecular phase separation, and cellular organization and development. Through these efforts, our research program aims to address the fundamental principles governing non-equilibrium molecular processes and establish rational design frameworks for advanced materials and biomolecular systems, with applications ranging from energy technologies to therapeutic discovery.

Education

B.S. in Chemistry and B.S. in Mathematical Sciences, Korea Advanced Institute of Science and Technology, 2014
Ph.D. in Chemistry, University of Chicago, 2021
Arnold O. Beckman Postdoctoral Fellow, Columbia University, 2022-2026

Honors

• Arnold and Mabel Beckman Foundation Bridge Funding, 2026 
• Arnold O. Beckman Postdoctoral Fellowship, 2022-2026
• Institute for Advanced Study (IAS) Research Fellowship, University of Amsterdam, 2026 
• ACS PHYS Young Investigator Award, ACS Division of Physical Chemistry, 2025
• William Rainey Harper Dissertation Fellowship, University of Chicago, 2021
• Talent Award of Korea, Deputy Prime Minister and Minister of Education of Korea, 2019
• ACS COMP Chemical Computing Group Excellence Award for Graduate Students, 2019

Selected Publications

Google Scholar

J. Jin, Z. Li, G. A. Voth*, “Systematic Bottom-Up Coarse-Graining of Hydrated Excess Proton Transport Across Scales”, Nat. Comp. Sci. In Press [DOI: 10.1038/s43588-026-01006-9]

J. Jin*, C. Liu, D. R. Reichman*, “Field-theoretic Simulation of Dean-Kawasaki Dynamics for Interacting Particles”, Phys. Rev. E. 2026, 113, 044138.

J. Jin*, “Bottom-Up Mesoscopic Coarse-Graining of Soft Matter”, Nat. Rev. Phys. 2026, 8, 130.

L. Phan, … , J. Jin, … , L. Schut., “A benchmark of expert-level academic questions to assess AI capabilities”, Nature 2026, 649, 1139-1146.

J. Jin, A. J. Pak, A. E. P. Durumeric, T. D. Loose, G. A. Voth*, “Bottom-Up Coarse-Graining: Principles and Perspectives”, J. Chem. Theory Comput. 2022, 18, 5759-5791.