Matthew Kilpatrick Email & Phone Number

Denver, CO, US

Design, Design and Deploy ML Training, Inference pipelines and models algorithms into production systems.Architect synthetic (Tabular, Image and Video) data generation using generative AI for Autonomous Vehicles.Develop Inference APIs and microservices to facilitate integration of AI capabilities into existing software infrastructure.Build intuitive user.

Boulder, Colorado, United States

Awarded over $200,000 for “Beam Condition Forecasting with Adaptive Graph Neural Networks” by the Department of Energy Office of Science, SBIR Phase 1, https://www.sbir.gov/awards/201977.Principal Investigator and developer of novel GNNs for use in accelerator operation with optimization providing 97% prediction accuracy and real time diagnostics with.

Santa Barbara County, California, United States

Guided ten students with research projects, such as simulations and particle identification.Implemented large scale databases to track parts and tooling to build 30,000 detector modules.Taught tutorial sessions for analysis methods at Fermi National Laboratory with a dozen students new to analysis in January 2020 and 2021.

Geneva, Switzerland

Production and analysis of approximately two TBs of particle physics simulation, specializing in a search for particles beyond the standard model utilizing parallel cloud computing.Prototyped and optimized point cloud tracking model with edge convolutions to identify clusters of particle decays.Estimation of two different background processes for a.

Houston, Texas, United States

Estimation and prediction of major background process as part of a search for hadronically decaying top squarks. Used multivariate machine learning methods to identify particles to improve efficiencies. Developed FPGA emulation and custom control software for the Phase 1 Pixel upgrade of the Compact Muon Solenoid at the Large Hadron Collider.

Doctor Of Philosophy - Phd, Elementary Particle Physics

Dissertation: Search for Top Squarks via All-hadronic Decay Channels with Heavy Object Tagging https://hdl.handle.net/1911/107961

Master Of Science - Ms, Physics

Bachelor'S Degree, Physics And Mathematics, Cum Laude

Latin honors with cum laude designation for research into autocorrelation of cuprate superconductors.