Arvind Murugan

Arvind Murugan obtained a BS in mathematics from the California Institute of Technology. He earned his PhD in high energy physics from Princeton University.  He then transitioned to working on problems at the intersection of biology, theoretical computer science and statistical physics at the Institute for Advanced Study and the John A. Paulson School of Engineering and Applied Sciences at Harvard University. He joined the physics faculty at the University of Chicago in the fall of 2015. 

The major thrust of his research is how physical and biological systems can learn from their environmental history and manifest neural network-like behavior. His current work focuses on learning in molecular self-assembly and mechanical systems; and on the biological side, in the evolution of molecular error correction. He was a Simons Investigator in the Mathematical Modeling of Living Systems, an NSF CAREER awardee and a recipient of the International Prize in Biophysics from Tel Aviv University.