Kamesh Krishnamurthy holds a Ph.D. in Computational Neuroscience and M.Sc. in Physics from the University of Pennsylvania. His thesis research used quantitative methods to study how neural systems at various scales exploit the structure in their environment to perform information-processing tasks efficiently. Prior to this, he was a research fellow at the Center for Neural Computation at Hebrew University, working on spike timing-based learning algorithms. Looking ahead, he is excited to work on the cluster of problems at the rich interface among biophysics, neural computation and machine learning.