566: Creating Computational Models to Determine How the Brain Accomplishes Complex Tasks - Dr. Kanaka Rajan

People Behind the Science Podcast - Stories from Scientists about Science, Life, Research, and Science Careers

Dr. Kanaka Rajan is a computational neuroscientist and Assistant Professor in the Department of Neuroscience and Friedman Brain Institute within the Icahn School of Medicine at Mount Sinai. In her research, Kanaka builds mathematical and computational models of the brain to better understand how the brain works. Her goal is to determine how the neurons and synapses of the brain work together to create complex processes like learning, memory, and decision-making. Running is a passion for Kanaka, and going for a run often helps her think more clearly. In addition, she enjoys sketching urban scenes and scientific themes. She received her bachelor’s degree in Industrial Biotechnology from Anna University in India, her M.S. in Neuroscience from Brandeis University, and her Ph.D. in Neuroscience from Columbia University. Kanaka conducted postdoctoral research as a Biophysics Theory Fellow at Princeton University before accepting her current position. She has received numerous awards and honors throughout her career, including the Sloan-Swartz Theoretical Neuroscience Postdoctoral Fellowship, Brain and Behavior Foundation Young Investigator Award, Understanding Human Cognition Scholar Award from the James McDonnell Foundation, Sloan Research Fellowship in Neuroscience, and Friedman Brain Institute Research Scholars Award from the DiSabato Family Foundation. In our interview, Kanaka shares more about her life and research.