Sreejan Kumar

Hello! My name is Sreejan. I am a (soon to be) joint postdoctoral scientist at the Columbia University's Zuckerman Institute and New York University Department of Psychology, affiliated with the labs of Marcelo Mattar and Lea Duncker.  I am generously funded by the New York Academy of Sciences through the Leon Levy Foundation. 

I did my PhD at Princeton University in Quantitative & Computational Neuroscience with Tom Griffiths and Jonathan Cohen. During graduate school, I spent time at Meta Reality Labs as a research scientist intern working on brain-computer interface systems for AR/VR. Before graduate school, I graduated from Yale University with majors in Computer Science and Statistics & Data Science, where I worked with Marvin Chun and Nicholas Turk-Browne on human neuroimaging. 

I am generally interested in flexible behavior in intelligent systems - what makes us learn fast and generalize well to novel situations? During my PhD, I studied this question in the context of human vs. artificial intelligence using Computational Cognitive Science. For my postdoc, I work on understanding the neural circuits that give rise to this behavior. My research has been published in top-tier conference venues, such as NeurIPS and ICLR, and scientific journal, such as Nature Communications and PLoS Computational Biology. My work has been recognized with accolades such as the NeurIPS Outstanding Paper Award and the Google PhD Fellowship.