I am an Assistant Professor of Neural Science at New York University, and am jointly appointed as a Project Leader at the Center for Computational Neuroscience, Flatiron Institute, Simons Foundation. I am also part of the CILVR (Computational Intelligence, Learning, Vision, and Robotics) Group, and an affiliated faculty member at the Center for Data Science, and Cognition & Perception program at New York University.  

[Update] In Fall 2025, I will be joining Harvard University as an Assistant Professor in the Department of Physics. I will also serve as an Institute Investigator at the Kempner Institute for Natural and Artificial Intelligence, a faculty member in the Center for Brain Science, and hold a secondary appointment in Applied Mathematics within the School of Engineering and Applied Sciences. Our lab will maintain a continued partial presence at the Flatiron Institute, where I will hold a part-time appointment.

My research interests are at the intersection of computational neuroscience and deep learning. I am interested in understanding computation in the brain and artificial neural networks by:

1. analyzing geometries underlying neural or feature representations, embedding and transferring information

2. 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.