Linas Nasvytis

I am a second year PhD student at Stanford University, advised by Professor Judith Fan.

My research focuses on the intersection of human and machine intelligence. I am particularly interested in the process of experience-efficient reasoning – how intelligent systems can learn to think and generalize with minimal data or feedback from the outside world.

Prior to coming to Stanford, I spent a wonderful year as a Pre-doctoral Fellow at Harvard University, collaborating with Sam Gershman and Fiery Cushman. Before that, I earned a master’s degree with a focus on statistical machine learning at the University of Oxford, where I worked with Jakob Foerster, Christian Schroeder de Witt, and Chris Summerfield.

Before discovering the intersection of machine learning and cognitive science, I was a research analyst working with Paul Romer at NYU, where we focused on tech policy, cryptography, and economic research. I graduated from the Dual Bachelor’s progam between Columbia University (BA in Economics) and Institut d’études politiques de Paris (BA in Politics, Philosophy and Economics).

If you’d like to discuss any research ideas or have any questions, feel free to reach out by email!