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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...

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.

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...

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.

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.

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...

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...