Richeek Das

CS PhD Student • GRASP Lab @ UPenn

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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

selected publications

  1. SoS CVPR 2026
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    Neurosim: A Fast Simulator for Neuromorphic Robot Perception
    Richeek Das and Pratik Chaudhari
    SoS CVPR, 2026
    🏆 Oral Presentation
  2. Under Review (Science Robotics)
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    Fast Feature Field (F³): A Predictive Representation of Events
    Richeek Das, Kostas Daniilidis, and Pratik Chaudhari
    under review (Science Robotics), 2025
    ⭐ New work, check out!
  3. ACL
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    Improving pretraining techniques for code-switched NLP
    Richeek Das, Sahasra Ranjan, Shreya Pathak, and 1 more author
    ACL Association for Computational Linguistics, 2023
    🏆 Outstanding Paper Award (Top 1% of accepted papers)
  4. Signal Process.
    Performance bounds for LASSO under multiplicative LogNormal noise: applications to pooled RT-PCR testing
    Richeek Das, Aaron Jerry Ninan, Adithya Bhaskar, and 1 more author
    Signal Processing, 2024

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!