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Valerie Wang

Person

Valerie is a Ph.D. student in Biophysics with research interests in theoretical and computational neuroscience. She is co-advised by Dr. Cengiz Pehlevan and Dr. Ziv Williams and supported by a graduate fellowship at the Kempner Institute. 

Prior to joining...

Emanuele Troiani

Person

Emanuele is a postdoctoral fellow supported by the Swiss National Science Foundation Postdoc Mobility fellowship.


His research aims to bridge the gap between theoretical understanding and practical utility in modern AI architectures. In particular, he is...

Luca Pesce

Person

Luca is a postdoctoral research fellow at Harvard Center for Mathematical Sciences and Applications (CMSA).

His research investigates the theoretical foundations of deep learning systems, with the goal of understanding why they are so effective in practice...

David Clark

Person

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 Zhang

Person

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 Lavie

Person

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 Osman

Person

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 Meterez

Person

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

Person

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 Qian

Person
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...