Dr. Michael Deweese

Biography

Michael DeWeese received his Bachelor of Arts in Physics from the University of California, Santa Cruz in 1988 and earned his PhD in Physics from Princeton in 1995. He held a computational postdoctoral appointment at the Salk Institute from 1995 to 1999 and subsequently became a postdoctoral researcher in experimental neuroscience at Cold Spring Harbor Laboratory until 2006. In 2007, he joined the University of California, Berkeley as a junior faculty member and is currently a Professor of Physics and Neuroscience. His research interests are diverse, spanning nonequilibrium statistical mechanics, machine learning theory, and systems neuroscience. His group focuses on understanding biomolecular operations, developing new machine learning algorithms informed by physics, and creating biologically plausible models to explain the functionality of the nervous system. He aims to bridge the gap between theoretical approaches and practical applications, particularly in fields requiring sophisticated models of sensory processing and cognitive functions. DeWeese has published numerous papers that tackle fundamental questions in both physics and neuroscience, contributing to our understanding of complex systems and statistical behaviors in various contexts.

Research Interests