Rishit Chatterjee

computer engineering · AI · ML systems · theory · security

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Dartmouth College
Hanover, NH
Colby College
Waterville, ME

I study computer science and mathematics at Colby College and computer engineering with an AI focus at Dartmouth College. My research interests span ML systems, theoretical machine learning, hardware verification, and security.

I am currently a Research Fellow at SPAR Research, where I study zero-knowledge proofs for model equality verification and privacy-preserving model authentication. I also work as a Research Assistant at OWLab and HUMANE Lab at Colby College, applying deep learning, optical flow, imputation, and ensemble methods to problems in driving behavior, environmental time series, and multimodal speech processing.

Alongside research, I serve as a Teaching Assistant in the Colby Computer Science Department and president of Colby Hackers.

research interests

  • ML systems
  • theoretical machine learning
  • hardware verification
  • security

news

Feb 01, 2026 Started as a Research Fellow at SPAR Research, focusing on zero-knowledge proofs for model equality verification.
Jan 25, 2026 Lake water quality forecasting paper accepted to IEEE SusTech 2026 for oral presentation.
Jul 15, 2024 Published machine learning work on Creutzfeldt-Jakob disease diagnosis at IEEE EMBC 2024.

selected publications

  1. A nested cross validation approach to machine learning model performance evaluation on a small dataset for Creutzfeldt-Jakob disease diagnosis
    Rishit Chatterjee and K. Takahashi
    In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 2024
  2. Data-driven Lake Water Quality Forecasting for Time Series with Missing Data using Machine Learning
    Rishit Chatterjee and T. Chowdhury
    In 13th IEEE Conference on Technologies for Sustainability (SusTech), Orange County, CA, USA, 2026
    Accepted for oral presentation. Preprint: arXiv:2601.15503