Richeek Das

I am a third-year Computer Science PhD student at the University of Pennsylvania, working with Prof. Pratik Chaudhari in the GRASP Lab.

Broadly, I work on Event-based Vision, Self Supervised Learning, Robotic Perception, and Multimodal Sensing. I am particularly interested in building efficient perception systems, often mimicking the human retina and the visual cortex. The algorithms I design can handle dynamic environments with vastly varying scene conditions and lighting — imagine cars moving at high velocities and pedestrians crossing dimly lit streets at night. These situations are very common and arise naturally when robots in the wild try to perceive and solve real tasks. It is only fair to build intelligent systems that are invariant to these nuisances without requiring specialized handling of every scenario.

Prior to this, I completed my bachelor’s with honors in Computer Science and Engineering from IIT Bombay, where I was advised by Prof. Preethi Jyothi and Prof. Ajit Rajwade. As an undergrad, I spent my summers doing AI research as an intern in the labs of Abacus.AI, Sony Japan, Universität Wien, and TU Delft. In those four years, I explored diverse areas including Computer Vision, Natural Language Understanding, Causal Inference, Compressed Sensing, and Behavioral Economics.

If I am not working, you’ll probably find me with my guitar, camera, or some Murakami novel!

I am actively looking for Summer 2026 internships in Robotics, Autonomous Driving or Representation Learning! Check out our latest project Fast Feature Field (F³) to understand what I have been working on recently.