Sreejan Kumar

Hello! My name is Sreejan. I am a PhD candidate the Princeton Neuroscience Institute. Before that, I graduated from Yale University with majors in Computer Science and Statistics & Data Science. During undergrad, I worked with Marvin Chun and Nicholas Turk-Browne (dept of Psychology). 

A core essence of human intelligence is the constant drive to understand the world around them. I am broadly interested in how human brains take experience in the world and extracts abstract knowledge that helps them learn faster. I'm interested in studying this process in a variety of domains such as reinforcement learning, language processing, and visual perception. I utilize a combination of artificial neural network simulations, large-scale online behavior experiments, and brain imaging in my research. 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. 

In the summer of 2023 and 2024, I spent time at Meta Reality Labs as a research scientist intern working on brain-computer interface systems for AR/VR. I was a part of the team focused on using EMG wristbands to develop ultra-fast text input. 

I'm currently a visiting researcher at NYU working with Marcelo Mattar (Center for Neural Science & Psychology).