Richeek Das
CS PhD Student • GRASP Lab @ UPenn
richeek@seas.upenn.edu
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 Self Supervised Learning, Autonomy Sensing, Event-based Vision and Localization. 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 reacting quickly at high velocities and pedestrians crossing dimly lit streets at night.
Prior to this, I was a CS undergrad at IIT Bombay. I was fortunate to be advised by Prof. Preethi Jyothi and Prof. Ajit Rajwade. As an undergrad, I spent my summers doing AI research in the labs of Abacus.AI, Sony Japan, Universität Wien, and TU Delft. I explored diverse areas — 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!
code i maintain
- F3
- neurosim and its CUDA event simulator (trust me its very fast)
- cortex
selected publications
-
ACL
Improving pretraining techniques for code-switched NLPACL Association for Computational Linguistics, 2023🏆 Outstanding Paper Award (Top 1% of accepted papers)
latest posts
news
| Jun 2026 | Attending CVPR 2026 and present NeuroSim. Say hi! |
|---|---|
| May 2026 | Interning with Aurora Innovation on the Perception team, building better self-driving trucks! |
| Apr 2026 | Neurosim is accepted for an oral presentation at the Sense of Space Workshop @ CVPR 2026! |
| Jan 2026 | Attended the 2026 Robotics GRC in Ventura, CA. Presented F3 as a poster! |
| Aug 2023 | Received the Paul S. Darnell named CIS PhD fellowship at UPenn! |
| Aug 2023 | Started my PhD in Computer Science at the University of Pennsylvania! |
| May 2023 | Interned with Abacus.AI working on Fairer and More Accurate Tabular Models Through NAS! |
| May 2023 | Our work on Pretraining Techniques for Code-switched NLU received the ACL 2023 Outstanding Paper Award (top 1%)! |
| May 2023 | Received the Thomas Dooie, Class of 1974 Research Excellence Award for my B.Tech Thesis at IIT Bombay! |
| Mar 2023 | Attended the Google Research Week in Bangalore, India among select few undergrads! |
| Jul 2022 | Joined CSALT Lab, IIT Bombay to work on Natural Language Understanding! |
| May 2022 | Interned with Sony AI, Japan as a Deep Learning Researcher working on Neural Architecture Search for Computer Vision! |
| Apr 2022 | I will be attending the CLeaR 2022 online! |
| Feb 2022 | I received the Excellence in CSE Teaching Assistantship Award for my work as a TA in CS251 (Software Systems Lab)! |
| Feb 2022 | Our work For What It’s Worth: Humans Overwrite Their Economic Self-interest to Avoid Bargaining With AI Systems has been accepted to ACM CHI 2022! |
| Jan 2022 | Our work on A Distance Covariance-based Kernel for Nonlinear Causal Clustering in Heterogeneous Populations has been accepted to CLeaR 2022! |
| Jan 2022 | Our work on Exploring Deeper Graph Convolutions For Semi-Supervised Node Classification has been accepted to IEEE ICASSP 2022! |
| May 2021 | Started working with Neuroinformatics Lab, Universität Wien on Kernel-based methods for Causal Statistics! |
| May 2021 | Started working with Prof. Ujwal Gadiraju, TU Delft on Behavioural Economics and HCI! |
| Aug 2019 | Joined IIT Bombay as an undergraduate student! |