Jack Cook

Hello! I’m Jack, and I’m a first-year PhD student at MIT EECS studying machine learning for systems. I previously studied at the University of Oxford while supported by a Rhodes scholarship, and I’ve worked on LLMs at Modal, The New York Times, and NVIDIA.

I hold master’s degrees in computer science, neuroscience, and social science, and I used to be the director of HackMIT. A long time ago, I was on the founding team of Mixer (formerly Beam), acquired by Microsoft in 2018.

I occasionally blog about my work. If you’d like to be notified when I publish my next post, enter your email below.

Selected Publications

Brain-Like Pathways Form in Models with Heterogeneous Experts

Jack Cook, Danyal Akarca, Rui Ponte Costa, Jascha Achterberg

CCN 2025, UKNC 2025 (Oral)

There’s Always a Bigger Fish: A Clarifying Analysis of a Machine-Learning-Assisted Side-Channel Attack

Jack Cook, Jules Drean, Jonathan Behrens, Mengjia Yan

ISCA 2022

Intel Hardware Security Academic Award, First Place

IEEE Micro Top Picks: Top 12 Computer Architecture Paper of the Year

MIT Robert M. Fano Award: Best EECS UROP Project

Switchboard: Automated News Q&A With an Editor in the Loop

Jack Cook

HCAI @ NeurIPS 2021

NeMo: A Toolkit for Building AI Applications Using Neural Modules

Oleksii Kuchaiev, Jason Li, Huyen Nguyen, Oleksii Hrinchuk, Ryan Leary, Boris Ginsburg, Samuel Kriman, Stanislav Beliaev, Vitaly Lavrukhin, Jack Cook, Patrice Castonguay, Mariya Popova, Jocelyn Huang, Jonathan M. Cohen

Systems for ML @ NeurIPS 2019