Current Members

David is a theoretical neuroscientist and research fellow at the Kempner Institute at Harvard.

Neural circuits are characterized by their large scale, nonlinear dynamics, complex recurrent interactions, and connections that change across multiple...

Charles is a computer science PhD student, broadly interested in machine learning and computational neuroscience. Previously, he was a post-bacc researcher working on using deep reinforcement learning to imitate animal motor control in simulation.

Itay is an Applied Mathematics PhD student at Harvard, broadly interested in how simple components interact to give rise to complex, intelligent phenomena. His research focuses on applying tools from theoretical physics to better understand how neural...

Mo is a neuroscience PhD student jointly advised by Cengiz Pehlevan and Rachel Wilson. He is interested in using dynamical systems theory to study how the brain represents the animal’s environment and generates adaptive behavior. Prior to grad school, he...

Alex is a CS PhD interested in deep learning theory and neural network optimization. His main research interests are in scaling neural networks and various aspects surrounding efficiency. He holds a MSc degree from ETH Zurich.

Indranil Halder is a Research Associate at the Harvard John A. Paulson School of Engineering and Applied Sciences in the Machine Learning Foundations Group with Cengiz Pehlevan. Previously, Indranil was the Harvard Quantum Initiative Fellow at the Center...

Billy is a biophysics PhD student interested in theoretical neuroscience and machine learning. Prior to coming to Harvard, he studied physics and computer science at the University of Pennsylvania and also spent a year in industry as a machine learning...

Clarissa is a postdoctoral fellow in Applied Mathematics, whose interest lies at the intersection between Statistical Physics and Machine Learning. She aims to develop simple theoretical models to explain complex behaviours of learning algorithms and...

Adam is a computer science PhD student interested in combining neuroscience with reinforcement learning for motor control and adaptive decision-making. His background is in deep reinforcement learning applied to various fields such as robotics and...

Mary is an Applied Maths PhD student, widely interested in developing machine learning as a reliable tool for physics and the natural sciences. She aims to focus on physics-based techniques for a theoretical and mathematical understanding of ML...