David Yu
Assistant Professor at University at Buffalo
Chicago, Illinois, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Yu is an experimental particle physicist and assistant professor with over a decade of experience leading detector operations, data engineering, and physics analyses for the CMS experiment at CERN. Based at the LHC Physics Center (Fermilab) and formerly deputy project manager for the CMS hadron calorimeter, he coordinates US remote operations and oversees a ~100-person subsystem team to ensure high-quality data for physics results. His research combines searches for new particles and Higgs measurements with practical instrumentation expertise—especially calorimetry—and applied machine-learning jet classifiers. He also contributes software and automation to CMS tooling, improving online data-quality monitoring layouts and generator-fragment workflows. Based in Chicago, he blends hands-on detector instrumentation, large-collaboration leadership, and open-source engineering to keep cutting-edge particle physics running smoothly.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, BerkeleyBA / BS, Physics / Mathematics, BA / BS, Physics / Mathematics at University of Chicago
Github Skills (19)
data-visualizations10
page-layout10
layout10
gridfs10
python10
scripting10
configuration-management10
data-visualisation10
grids10
automation10
data-monitoring10
grid10
data-visualization10
automations10
c-language9
Programming languages (6)
Github contributions (5)
cms-sw/genproductions
Nov 2018 - Mar 2022
Generator fragments for MC production
Role in this project:
Automation Engineer
Automation EngineerContributions:28 commits, 15 PRs, 25 comments in 3 years 4 months
Contributions summary:David focused on automating and scripting the generation of configuration files for the generator fragments within the repository. They added scripts to create cards for MadGraph5_aMCatNLO, including the creation of different HT bins, spin-0 to bb cards, and hadronizer configurations. The user also implemented support for MG bias weighting within the gridpack generation process.
productionfragments
dmwm/deployment
Apr 2018 - Oct 2018
CMS DMWM Deployment
Role in this project:Full-stack Developer (focus on DQM layouts/UI)
Full-stack Developer (focus on DQM layouts/UI)Contributions:6 commits, 7 PRs in 5 months
Contributions summary:David primarily contributes to the HCAL (Hadronic Calorimeter) DQM (Data Quality Monitoring) system, focusing on updating and enhancing the layouts for online monitoring. Their work includes adding new plots for LED misfires, laser data, and TDC cut efficiency. The user modifies Python-based configuration files (likely for the DQM GUI) to incorporate these new visualizations and alarms, and also addresses issues related to data mismatches, suggesting a focus on data integrity and user interface improvements within the CMS DMWM deployment context.
cmsdeploymentdmwm
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