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"Machine learning in chemistry and beyond" (ChE-651) seminar by Cory Simon "Classifying the toxicity of pesticides to honey bees via support vector machines with random walk graph kernels"

Pesticides benefit agriculture by increasing crop yield, quality, and security. However, pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate pesticides in development pipelines must be…


With: Cory Simon hails from a small town in Ohio. He earned his B.S. in Chemical Engineering from the University of Akron. He then studied mathematics at the University of British Columbia in Vancouver, Canada for two years. In 2016, he earned his Ph.D. in Chemical Engineering from the University of California, Berkeley. He conducted scientific research at Virginia Tech, Okinawa Institute of Science and Technology, Lawrence Berkeley National Laboratory, École Polytechnique Fédérale de Lausanne, and Altius Institute for Biomedical Sciences and interned in industry at Bridgestone Research (chemical engineering) and Stitch Fix (data science). Since 2017, Cory is an assistant professor at Oregon State University in the School of Chemical, Biological, and Environmental Engineering. His research group employs molecular models and simulations, machine learning, and statistical mechanics to discover nanoporous materials for gas storage, separations, and sensing. Cory digs hiking/backpacking in scenic places, snowboarding, wine, and going on walks with his dog, Oslo.
Category: Conferences – Seminars