Oz Amram

Fermilab, Wilson Hall 1167

123 Batavia, IL

I’m Oz, a Wilson Fellow & Associate Scientist at Fermilab working at the intersection of Machine Learning and Particle Physics

I’m a member of the CMS experiment at the Large Hadron Collider at CERN. CMS studies the fundamental particles and forces which constitute all matter in the universe, hoping to answer our deepest open questions about the fundamental nature of the universe. We achieve this by colliding protons together at the highest energies possible, and then looking through the millions of collisions produced every second for signs of new fundamental interactions. I’m especially excited by the ways Machine Learning & AI can push this science forward, letting us ask questions that simply weren’t possible before.

I completed my PhD at Johns Hopkins University in 2022, joined Fermilab as a postdoc, and in 2026 became a Wilson Fellow (a tenure-track associate scientist position). I also write for ParticleBites, summarizing recent particle physics papers for a broad audience.

A few things I work on

Anomaly Detection

Model-agnostic searches that let the data itself flag unexpected new particles, instead of testing one theory at a time. I led the first such search at CMS.

Applications of Generative Models

Harnessing modern generative AI --- diffusion models and normalizing flows --- to accelerate detector simulation and to perform high-dimensional, data-driven statistical inference.

Foundation Models

Pre-training large models on real LHC collision data, and mapping out how they scale, as a foundation for many downstream physics tasks.

You can find more on my projects page.