CoDaS-HEP Liangyu's information and photo

_codas-hep-students/2026/Liangyu5.md

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+---
+layout: codas-hep-participant
+e-mail: liangyu5@stanford.edu
+institution: Stanford University & SLAC National Accelerator Laboratory
+name: Liangyu Wu
+photo: "/assets/images/codas-hep/2026/Liangyu-Wu.png‎"
+github-username: Liangyu5wu
+linkedin-profile: https://www.linkedin.com/in/liangyu-wu-aa84b6327/
+orcid: 0009-0003-2402-0735
+title: Physics PhD Candidate
+website: https://liangyu5wu.github.io
+logos:
+    - /assets/images/codas-hep/logos/Stanford_logo.png
+    - /assets/images/codas-hep/logos/ATLAS-logo.png
+    - /assets/images/codas-hep/logos/SLAC_logo.png
+---
+
+## My research:
+HL-LHC ATLAS ITk data transmission testing; real-time ML for FCC-ee and HEP front-end electronics; foundation models for HEP.
+
+## My expertise is:
+Readout electronics testing and deep learning for HEP data.
+
+## A problem I'm grappling with:
+Training large models fast and efficiently, and training tiny simulation-trained models that still work on real data.
+
+## I've got my eyes on:
+Cable-less data transmission and differentiable simulation.
+
+## I want to know more about:
+Large model training techniques and AI/LLM skills.