Rishit Chatterjee

ml systems · ml theory · ai safety

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Dartmouth College
Hanover, NH
Colby College
Waterville, ME

I’m Rish, an AI researcher at Dartmouth! 👋

I study CS and math at Colby College and computer engineering at Dartmouth College.

During the summer of 2026, I am in the UK as an AI Safety Intern at the University of Birmingham.

I am also working in Dartmouth’s Department of CS on AI interpretability.

Previously, I was a Research Fellow at SPAR Research, where I studied zero-knowledge proofs for privacy-preserving model authentication.

At Colby, I worked as a Research Assistant at OWLab and HUMANE Lab, applying ML methods to driving behavior, environmental time series, and multimodal speech processing.

research interests

  • efficient ml systems
  • algorithmic and theoretical ml
  • secure & verifiable ml
  • nlp and vision

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