Surl-Hee Ahn

Surl-Hee Ahn

Position Title
Assistant Professor

  • Chemical Engineering
Bainer 3108
Bio

The Ahn lab aims to investigate important biological systems and phenomena on an atomistic scale using molecular dynamics (MD) simulations and develop enhanced sampling methods for MD simulations. Specifically, they look at various systems, from proteins to nanocrystals, using the weighted ensemble (WE) method to sample atomistic pathways and mechanisms efficiently. They also develop methods for WE to make it state-of-the-art, focusing on kinetic sampling. Moreover, the group works on computer-aided drug discovery or virtual screening for tuberculosis and other diseases that direly need better or new drugs and treatments.

Education and Degree(s)
  • 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
Honors and Awards
  • Featured in the New York Times article “The Coronavirus in a Tiny Drop” https://www.nytimes.com/interactive/2021/12/01/science/coronavirus-aerosol-simulation.html
  • Supercomputing 2021 (SC21) Association for Computing Machinery (ACM) Gordon Bell COVID Finalist for “#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol"
  • 2021 Chancellor’s Outstanding Postdoctoral Scholar Award Finalist
  • 2021 ACS PHYS Division Young Investigator Award ($500)
  • Supercomputing 2020 (SC20) Association for Computing Machinery (ACM) Gordon Bell COVID Winner for “AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics"
  • 2018 MIT Rising Stars in Mechanical Engineering
  • Stanford Theoretical Chemistry Summer Fellowship for 2012
  • University of Pennsylvania (undergraduate): Magna Cum Laude; Vagelos Scholar in Molecular Life Sciences (incl. $5000 fellowship for two summers); Biochemistry Honors; Dean’s List

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