Multiple papers accepted by ICML 2025 and other international conferences; a note on kernel smoothing published in JSTAT; awarded the 2024 American Physical Society Dissertation Award in Statistical and Nonlinear Physics; two works featured in the 2024 Machine Learning Special Issue of JSTAT.
Research Experience
Spoke at the ROC(K)IN’ AI 2.0 workshop; gave a talk at the 2025 Brains, Minds, and Machines Summer Course; involved in several research projects on high-dimensional ridge regression and neural data analysis.
Background
Junior Fellow of the Harvard Society of Fellows, an affiliate of the Harvard Center for Brain Science, and a recipient of a 2024 NIH Director’s Early Independence Award. My research interests lie in some neighborhood of the intersection between theoretical neuroscience, statistical physics, and machine learning.
Miscellany
Can rarely be found on Bluesky or Mastodon. In official contexts, uses full name Jacob Andreas Zavatone-Veth.