Bio:

Pamela Reinagel is an Associate Professor of Neurobiology at UCSD. She earned her B.S. in Biology at Carnegie Mellon University and her Ph.D. in Biochemistry at Harvard University. She then switched to the field of Computational Neuroscience, briefly working with Markus Meister at Harvard before moving to Caltech as postdoctoral fellow of the Sloan Center for Theoretical Neuroscience, working with Christof Koch. She went on to a second postdoc at Harvard Medical School, working with Clay Reid. She is known for her work in neural coding and natural scene statistics in this time period. She started her own lab at UCSD in 2003, where she became a pioneer in rodent visual behavior, developing one of the first high-throughput automated training and testing paradigms for rodent vision. She has taught at the MBL Methods in Computational Neuroscience course, the CSHL Computational Vision course, and the UW/Allen Summer Workshop on the Dynamical Brain. Her current research focuses on visual decision-making, functional dissection of parallel visual streams, and behavioral neuro-economics in rodents.