Sudhanshu currently has two primary interests: 1) understanding the causes and consequences of privileged representational axes in neural networks, and 2) understanding how representational similarity measures relate to downstream network properties. Prior to joining the NeuroML group for his postdoctoral work, he earned a PhD in Dynamical Neuroscience at UC Santa Barbara, an MS in Computer Science at the University of Rochester, and a BS-MS in Mathematics from the Indian Institute of Science Education and Research in Bhopal.