Adit Shah

Research Associate @ Columbia · Prev. EECS @ Berkeley

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I recently graduated from UC Berkeley with a degree in Electrical Engineering and Computer Sciences. I’m currently a researcher at the AlQuraishi Lab at Columbia, where I’m working on problems at the intersection of machine learning and structural biology.

I was previously the first computational hire at Until Labs, where I did all things software and machine learning towards the goal of reversible cryopreservation of biological systems. Before that, I worked at the Broad Institute on AI for extracting information from high-throughput images of cells for drug discovery.

I’ve also worked on machine learning methods for brain-to-speech interfaces for paralyzed patients, as well as on using semi-autonomous vehicles to mitigate traffic congestion and reduce carbon emissions.

Lately I’ve been thinking about biophysics, orders of magnitude, and urbanism. Feel free to reach out!

Experience

  • Columbia University2026–present
    Research Associate, AlQuraishi Lab
  • Until Labs2024–2026
    Research Engineer
  • Broad Institute2024
    Research Intern, Imaging Platform
  • Berkeley AI Research2023–2024
    Undergraduate Researcher, Berkeley Speech Group
  • EPFL2023
    Summer@EPFL Research Fellow, MLBio Lab
  • Berkeley AI Research2021–2023
    Undergraduate Researcher, CIRCLES Consortium

Publications

  1. Nature Communications
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    Counting cells can accurately predict small-molecule bioactivity benchmarks
    Srijit Seal, William Dee, Adit Shah, 14 more authors
    Nature Communications, 2026
  2. Nature Neuroscience
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    A streaming brain-to-voice neuroprosthesis to restore naturalistic communication
    Kaylo T. Littlejohn, 9 more authors, Adit Shah, 5 more authors
    Nature Neuroscience, 2025
  3. IEEE CSM
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    Traffic control via connected and automated vehicles (CAVs): An open-road field experiment with 100 CAVs
    Jonathan W. Lee1, 14 more authors, Adit Shah2, 48 more authors
    IEEE Control Systems, 2025
  4. IEEE CSM
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    Reinforcement learning-based oscillation dampening: Scaling up single-agent reinforcement learning algorithms to a 100-autonomous-vehicle highway field operational test
    Kathy Jang1, Nathan Lichtlé1, Eugene Vinitsky2, Adit Shah2, 9 more authors
    IEEE Control Systems, 2025
  5. IEEE ITSC
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    Traffic smoothing controllers for autonomous vehicles using deep reinforcement learning and real-world trajectory data
    Nathan Lichtlé*, Kathy Jang*, Adit Shah*, 3 more authors
    IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023