I am an assistant professor in the Department of Physics and Astronomy at Texas Tech University, working in experimental high energy physics (HEP-ex). My research spans electroweak measurements at the CMS experiment, advanced calorimeter R&D, machine learning in HEP, and searches for dark sector particles at fixed-target experiments.
More details can be found in my CV. Prospective graduate students and postdocs are warmly encouraged to reach out.
Precision measurements of W and Z boson production cross sections at the LHC using the CMS detector. Recently I started to get involved in vector boson scatterings, with a focus on semileptonic channel, which has a good balance between signal statistics and background systematics. Hopefully there can be some results by the end of 2026.
SONIC is a framework (?) that offloads (machine learning) inference to coprocessors (GPUs, FPGAs) as a service, significantly improving throughput for HEP workflows while maintaining efficient and dynamic usage of resources.
Some tutorials I made for beginners when I was a postdoc: Tutorial ↗
Work on the assembly and quality control of modules for the CMS High Granularity Calorimeter (HGCal) upgrade for the HL-LHC era.
Applying modern machine learning techniques to key HEP reconstruction tasks: pileup mitigation using graph neural networks (GraphPUPPI), deep learning-based missing transverse momentum regression (DeepMET), and calorimeter clustering and energy regression.
R&D for next-generation (hadron) calorimeters, including dual-readout and imaging calorimeter concepts. Work encompasses Geant4-based simulation, signal reconstruction algorithms, and machine learning approaches for energy regression and particle identification. We have prototypes at TTU, so ideas can be tested directly, with cosmics and/or test beam.
DarkQuest is a proton beam dump experiment at Fermilab's Main Injector, adding on top of the SeaQuest spectrometer to search for dark photons, and other light dark matter candidates produced in 120 GeV proton–target interactions. Contributions include electromagnetic calorimeter (EMCal) test and overall simulation and reconstruction studies.
A collection of papers I find interesting and want to keep handy for future reference, with quick notes on each. Topics span detectors (dual-readout calorimetry, particle flow, LGADs etc) and physics analyses (polarization, gauge boson interactions, etc). Updates occasionally.
Data quality monitoring and analysis plots for our prototype calorimeter test beam program. Includes channel maps, energy spectra, shower shapes, timing information, and beam composition across multiple runs. Built to quickly browse and share results for (semi-)live analyses.
This is more like a test of Gemini: A structured reference index covering high-energy physics experiments, theoretical concepts, and technical topics, fully produced by Gemini. Useful as a quick lookup or orientation guide across the broad landscape of particle physics.