I am an Assistant Professor of Physics and of Applied Mathematics at Harvard University, where I am also a Kempner Institute Investigator and a member of the Center for Brain Science. In addition, I hold a part-time appointment at the Center for Computational Neuroscience at the Flatiron Institute (a research division of Simons Foundation focused on computation).
My research interests are at the intersection of theoretical and computational neuroscience, statistical physics and machine learning. I am interested in understanding computation in the brain and artificial neural networks by:
analyzing geometries underlying neural or feature representations, embedding and transferring information
developing neural network models and learning rules guided by neuroscience.
To do this, I use tools in statistical physics, machine learning, and high-dimensional geometry & statistics.
