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ATLAS EXPERIMENT ·
CERN LARGE HADRON COLLIDER
Searching for new physics, in real time
We hunt for beyond-the-Standard-Model physics at CERN's ATLAS experiment and build fast machine-learning systems, from FPGA triggers to cloud-scale inference, that let experiments see more of nature.
Yuan-Tang Chou 周圓唐
I'm Yuan-Tang, an Assistant Professor of Physics at National Tsing Hua University (NTHU) from August 2026. Previously a postdoctoral scholar at the University of Washington, the NSF A3D3 Institute and the eScience Institute; Ph.D. from UMass Amherst; B.S. from NTHU. A member of the ATLAS collaboration at CERN since 2016, currently serving as ATLAS b-jet trigger signature coordinator and FastML Foundation co-processor subgroup coordinator.
WHAT WE DO
From detector to discovery, where physics meets AI
Curious about any of these?
We're
looking for students eager to solve real-world challenges at the intersection of AI and science.
See open positions →
2026
Lab founded at National Tsing Hua University
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Team member presentations in the last 12 months
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Papers published in the last 12 months
10,000
NERSC GPU node-hours awarded for
AI-driven analysis
NEWS
Latest from the lab
JOIN US
Be part of the lab's first cohort
We're recruiting postdoctoral scholars, Ph.D. students, M.S. students, and undergraduates excited about particle physics, machine learning, or scientific computing. No prior HEP background required — curiosity and a willingness to code matter most.
Postdoctoral scholars
Ph.D. students
M.S. students
Undergraduates
See how to apply
Celebrating with ATLAS colleagues at CERN