Vicente is an Applied Mathematics PhD student interested in machine learning theory. His research uses tools from statistical physics to better understand how neural networks learn efficiently from data. He holds a MSc in physics from EPFL and a BSc in...
Ege is a senior at Harvard pursuing a joint concentration in Statistics and Physics and a concurrent SM in Computer Science. He is interested in understanding how neural networks reason, learn, and generalize, and using these insights to develop more...
Clémentine Dominé is a CBS-NTT Postdoctoral Fellow in the Physics of Intelligence at Harvard University. Her research lies at the intersection of theoretical neuroscience and theoretical machine learning. Broadly, she aims to understand how biological and...
Varun is a biophysics PhD student interested in the intersection of theoretical neuroscience, machine learning, and statistical physics. Before Harvard, he studied Physics and Statistics at Yale and spent a year as a quantitative trader at IMC.
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 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 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...
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...
