Liangyu Wu

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.