PeopleofSuperintelligence

Researcher

Jacob A Zavatone-Veth

Also known as Jacob Zavatone-Veth, Jacob Andreas Zavatone-Veth

Jacob A Zavatone-Veth is a researcher whose work sits at the intersection of theoretical neuroscience, statistical physics, and machine learning. He earned a physics degree at Yale in 2019 and a Harvard physics PhD in 2024 under Cengiz Pehlevan, with a thesis on the statistical mechanics of Bayesian inference and learning in neural networks. In 2024 he received an NIH Director's Early Independence Award and the American Physical Society Dissertation Award in Statistical and Nonlinear Physics. His 2026 paper with Binxu Wang and Pehlevan on the consistency of diffusion models earned an Outstanding Paper Honorable Mention at ICML. He is a Junior Fellow of the Harvard Society of Fellows and will join The Rockefeller University as an Assistant Professor and Head of Laboratory in January 2027.

Timeline

  1. 2019

    Physics at Yale

    He earns a BS in physics at Yale in 2019. As an undergraduate he works with Damon Clark on visual motion detection and locomotor coordination in fruit flies.

  2. 2024

    A Harvard physics PhD

    He completes a PhD in physics at Harvard University in 2024 under Cengiz Pehlevan. His thesis is titled "Statistical mechanics of Bayesian inference and learning in neural networks".

  3. 2024

    NIH Early Independence Award

    In 2024, he receives an NIH Director's Early Independence Award and the American Physical Society Dissertation Award in Statistical and Nonlinear Physics.

  4. July 2024

    Harvard Society of Fellows

    He becomes a Junior Fellow of the Harvard Society of Fellows in July 2024. In November 2024, he also becomes a research scientist at the Harvard Center for Brain Science.

  5. March 2026

    Efficient coding of smell

    In March 2026, a PNAS paper led by Harvard graduate student Juan Carlos Fernández del Castillo, with Farhad Pashakhanloo and him, uses efficient coding to explain why many species share one early olfactory design.

  6. 2026

    An ICML honorable mention

    His paper with Binxu Wang and Cengiz Pehlevan, "A Random Matrix Perspective on the Consistency of Diffusion Models", receives an Outstanding Paper Honorable Mention at ICML 2026. It develops a random matrix theory framework that explains why diffusion models trained on different data splits produce strikingly similar outputs.

  7. As of October 2026

    Heading to Rockefeller University

    He is a Junior Fellow of the Harvard Society of Fellows and an affiliate of the Harvard Center for Brain Science. He will join The Rockefeller University as an Assistant Professor and Head of Laboratory in January 2027.

Career

  1. Since 2024Harvard UniversityJunior Fellow

Education

  1. 2024Harvard UniversityPhD
  2. 2019Yale UniversityBS

From the biography.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Harvard University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  2. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Harvard University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes Harvard University. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 44% of AI career moves go from one university to anotherIncludes Harvard University. We estimate how 26,439 AI career moves link universities, companies, labs, nonprofits and government research centers, with decade counts, net flows and the top paths.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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  1. Jacob Zavatone-Veth | CV jzv.io. Checked 21 October 2026.
  2. Why Evolution Keeps Returning to the Same Solution for Smell - Harvard University - Department of Molecular & Cellular Biology mcb.harvard.edu. Checked 21 October 2026.
  3. Jacob Zavatone-Veth jzv.io. Checked 21 October 2026.
  4. ICML 2026 Awards icml.cc. Checked 21 October 2026.
  5. [2602.02908] A Random Matrix Theory Perspective on the Consistency of Diffusion Models arxiv.org. Checked 21 October 2026.