Bethany Lusch

Argonne National Laboratory, Department of Energy's Computational Research Leadership Council (CRLC)

Lecture Information:
  • October 20, 2023
  • 2:00 PM
  • Zoom
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Speaker Bio

Dr. Bethany Lusch is an Assistant Computer Scientist at Argonne National Lab. She is on the data science team within Argonne’s supercomputer facility. Her work focuses on machine learning for large-scale scientific problems. Her postdoctoral training was in the area of machine learning for dynamical systems at the University of Washington in Seattle. She obtained her PhD and MS in applied mathematics at the University of Washington. Dr. Lusch also holds a BS degree in mathematics from the University of Notre Dame.


Large-scale simulations are used in many fields to address questions such as how to design an efficient engine, how climate change will affect a particular region, or how cancer spreads in the body. There are always more simulations that would be useful to run than available time, especially when each simulation takes weeks on a supercomputer. Can we leverage data saved from previous simulations to speed up future ones? In this talk, I will cover a couple of ways that we have used machine learning to accelerate simulations.