Alumni

Nikhil is a postdoctoral fellow at SEAS. He received his PhD from MIT in theoretical computer science. His current research focus is on understanding deep learning particularly from the perspective of scaling laws and limiting behavior of neural networks.

Fabrizio is a master’s student in physics and data science at École Polytechnique Fédérale de Lausanne. He is interested in the intersection between statistical physics, machine learning, and theoretical neuroscience. He received his B.S. in physics from...

Ben is a PhD student in Biophysics interested in theoretical neuroscience and statistical physics.  His research to date focuses on how biological properties like sparse connectivity and noise affect learning in neural networks. Ben did his BS in physics...

Alex is a Physics PhD student interested in the intersection of statistical physics, neuroscience, and deep learning. He did his BS and MS in mathematical physics at Yale.

Matthew is a postdoctoral fellow at SEAS. He received his PhD in Applied Mathematics from the University of Washington, where he combined applied math tools with computational-neuroscience-inspired measures to shed light on the behavior of artificial...

Hamza is an Applied Mathematics Ph.D. student interested in the application of artificial intelligence to complex adaptive systems, with particular focuses on embodied cognition and computational imagination. Prior to joining the Pehlevan group, he...

Ruoxi is a first-year master student in Computational Science and Engineering interested in neuroscience-guided machine learning. He is interested in the secret behind natural neural network and developing biological-plausible machine learning models. He...

I did my undergrad at the University of Cambridge where I graduated with a B.A and M.Eng in Information and Computer Engineering and then did an M.Res in Cognitive Science at the EHESS in Paris during which I worked with Sophie Denève at the Ecole Normale...