Scholar
Jack Cook
Google Scholar ID: s45xWk0AAAAJ
MIT
Citations & Impact
Citations
428
H-index
3
i10-index
2
Publications
6
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Brain-Like Pathways Form in Models with Heterogeneous Experts' (NeurIPS 2025, CCN 2025, UKNC 2025 Oral), 'There’s Always a Bigger Fish: A Clarifying Analysis of a Machine-Learning-Assisted Side-Channel Attack' (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' (HCAI @ NeurIPS 2021), 'NeMo: A Toolkit for Building AI Applications Using Neural Modules' (Systems for ML @ NeurIPS 2019).
Research Experience
- Work Experience: Worked on LLMs at Modal, The New York Times, and NVIDIA; Former director of HackMIT; Part of the founding team of Mixer (formerly Beam), which was acquired by Microsoft in 2018.
Education
- Degrees: Master's; School: University of Oxford; Advisor: Song Han; Time: Currently a first-year PhD student at MIT EECS; Majors: Computer science, neuroscience, social science.
Background
- Research Interests: Machine learning systems; Fields: Computer science, neuroscience, social science; Bio: First-year PhD student at MIT EECS, previously supported by Rhodes Scholarship and studied at the University of Oxford.
Miscellany
- Personal Interests: Occasionally blogs about his work.
