Linda Petzold

CRML Affiliated Faculty

Distinguished Professor, Mechanical Engineering and Computer Science

petzold@engineering.ucsb.edu

Computational Science and Engineering Research Group

Research

My research focuses on modeling, simulation and data analytics of multiscale systems in biology and medicine. My research group develops algorithms and software for discrete stochastic simulation and parameter and model inference of biochemical systems. We are involved in neuroscience research at several scales, including inference of information flow across networks of neurons in multi-electrode arrays (MEAs) with Professor Ken Kosik, developing an understanding of information flow in the brain during learning with Professor Scott Grafton, and mathematical modeling of fluid flow and chemistry in the brain to identify the root causes of brain disorders including migraine with Dr. Michael Harrington of Huntington Medical Research Institutes (HMRI) in Pasadena, CA. We employ data analytics to improve trauma care in collaboration with Dr. Rachel Calcutt of UCSF.

Bio

Dr. Linda Petzold is currently Distinguished Professor in the Department of Mechanical Engineering and the Department of Computer Science (Chair 2003-2007), and Director of the Computational Science and Engineering GraduateEmphasis at the University of California Santa Barbara. She is a member of the US National Academy of Engineering and a Fellow of ACM, ASME, SIAM and AAAS. She was named the UCSB Faculty Research Lecturer for 2011, was awarded the SIAM/ACM Prize for Computational Science and Engineering in 2013, received an Honorary Doctorate from Uppsala University in 2015, was awarded the SIAM Prize for Distinguished Service in 2016, and was awarded the IEEE Sydney Fernbach Prize in 2018. Her current research focuses on modeling, simulation and data analytics of multiscale systems in biology and medicine.