معرفی
Surl-Hee Ahn is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. Her research focuses on using molecular dynamics (MD) simulations and enhanced sampling methods like the weighted ensemble (WE) to study biological systems, including proteins, nanocrystals, and drug discovery for tuberculosis and other diseases. She leads the Ahn Lab, which develops cutting-edge computational tools, such as ParGaMD and DeepWEST, to advance kinetic and thermodynamic sampling in simulations.
Education:
- Ph.D. in Chemistry (Chemical Physics), Stanford University
- M.S. in Chemistry, University of Pennsylvania
- M.A. in Mathematics, University of Pennsylvania
- B.A. in Biochemistry and Mathematics, University of Pennsylvania (Magna Cum Laude, Vagelos Scholar)
Research Interests: Molecular dynamics simulations, enhanced sampling methods, computational drug discovery, vaccine design, protein interactions, and nanomaterial dynamics. Her work bridges computational biology, materials science, and pharmacology, with applications to infectious diseases and neurodegenerative disorders.
Awards and Recognition:
- 2020 ACM Gordon Bell Prize Winner (SC20) for SARS-CoV-2 spike dynamics simulations
- 2021 Chancellor’s Outstanding Postdoctoral Scholar Award Finalist
- MIT Rising Stars in Mechanical Engineering (2018)
- ACS PHYS Division Young Investigator Award (2021)
Grants & Collaborations: Her research is supported by grants from SC20/SC21 and leverages high-performance computing for multiscale modeling. She collaborates on projects like #COVIDisAirborne, combining AI with computational microscopy.
Labs & Teams: The Ahn Lab at UC Davis emphasizes interdisciplinary training in computational methods and their application to real-world biomedical challenges.
