Sam Bright-Thonney is an IAIFI Fellow at MIT, where he develops innovative machine learning methods to analyze particle physics data. His research focuses on searching for new fundamental particles and forces. He holds a PhD from Cornell University and a BA in Physics & Applied Math from the University of California, Berkeley.
He previously worked as a Research Assistant at Berkeley Lab on the ATLAS experiment at the Large Hadron Collider.
Sam Bright-Thonney
IAIFI Fellow at NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)
Cambridge, Massachusetts, United States
Overview
Topics They Care About
Particle Physics
His core research involves analyzing particle physics data to search for new fundamental particles and forces.
Machine Learning
He develops and studies new machine learning methods specifically for applications in fundamental physics.
Fundamental Interactions
As a fellow at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions, this is the central theme of his work.
Media Appearances
Sam has no verified media appearances
Work History
9-2024
IAIFI Fellow at NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)
5-2019 - 8-2024
Graduate Research Assistant at Cornell University
8-2018 - 5-2019
Graduate Teaching Assistant at Cornell University
9-2015 - 8-2018
Research Assistant at Berkeley Lab
Education
2018 - 8-2024
Doctor of Philosophy - PhD from Cornell University
2014 - 2018
Physics & Applied Math from University of California, Berkeley
More Information
Social Presence :
Prographics :
Exp : 10
Location : Cambridge, Massachusetts, United States
Job Level : Mid-senior
Designation : IAIFI Fellow at NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)
