Seminar Date: Tuesday, June 4, 2024
Time: 11:00 am
Location: 67-3111 & Zoom
Talk Title: Optimizing non-equilibrium processes with automatic differentiation
Zoom link
Bio:
After earning her BSc and MSc in Physics at the University of Alberta, Megan completed her DPhil in Theoretical Physics at the University of Oxford as a Rhodes Scholar. Her research, pursued in collaboration with DNA nanotechnologists, used molecular simulations to explore the response of DNA nanomachines to forces. As a Schmidt Science Postdoctoral Fellow, Megan worked at Harvard University to apply machine learning techniques to study non-equilibrium biological systems. Now an Assistant Professor at the University of Calgary in the Biological Sciences Department, Megan seeks to improve our understanding of how nature has harnessed the laws of physics to drive processes like robust self-assembly and molecular energy transduction, ultimately leading to better rational design of synthetic, self-assembling nanomachines.