⤢ Click to enlarge GELATO A Generic Event-Level Anomaly detection Trigger for ATLAS: here is the event display of a GELATO L1-fired event with the highest GELATO HLT AD score during May 2025, at 13.6 TeV.
Stanford · SLAC · ATLAS @ CERN
✦ move your cursor Kenny (Haoyi) Jia
Physics Ph.D. student building interpretable, ultra-fast machine learning to find new physics at the Energy Frontier.
I'm a Ph.D. student in Physics at SLAC and Stanford, working on the ATLAS experiment at the LHC at CERN, advised by Dr. Julia Gonski and Dr. Dong Su.
My research is at the Energy Frontier: searching for Beyond Standard Model physics, future colliders, and the application of machine learning and edge computing in high energy physics. Recent work centers on interpretable anomaly detection for new physics searches and ultra-fast ML deployed directly on FPGAs in the ATLAS trigger and detector readout. I'm an affiliated trainee of the A3D3 Institute under the NSF HDR program.
- Beyond Standard Model
- Anomaly Detection
- Fast / Edge ML
- Foundation Models
- Future Colliders
Highlighted Research
⤢ Click to enlarge GELATO hover to separate ORCA
A contrastive-learning framework that surfaces extremely rare decay anomalies — like long-lived particles — that standard algorithms miss.
Selected Publications
ATLAS Collaboration author since March 2026.
ATLAS Collaboration
Papers I am an author on with the ATLAS Collaboration.
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