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people

Meet our promising fellows, dedicated mentors, brilliant faculty, as well as our alumni who have completed the program.

fellows

Eric Anderson

University of Illinois Chicago

Either Columnar Object Data Storage or Beam Simulations for Muon Cooling

Maisy Dunlavy

University of Illinois Chicago

Anomaly Analysis Pipeline for Cross-Experimental AIDQM

Bradley Leesman

Northern Illinois University

Benchmarking the AI-Readiness of HEP Data for Machine Learning Workflows

Kim Meagher

University of Illinois Chicago

Agentic Workflow Optimization for Parton Event Generation on HPC Systems

Akshar Patel

University of Illinois Chicago

Resource Usage Profiling for High Energy Physics Applications on HPC Systems

Casandra Saxon

Northern Illinois University

ML-based Detector Response Prediction for Intelligent Particle Filtering in ATLAS Simulation

Alexei Tam

University of Illinois Chicago

hackjet - Jet Clustering with SIFT (Scale-Invariant Filtered Tree) and hierarchical agglomerative clustering

mentors

Nick Smith

Fermi National Accelerator Laboratory

faculty

alumni

Amy Byrnes

University of Illinois Chicago

Intelligent Lossy Compression for ATLAS Data

Jack Kraus

Northern Illinois University

Disk and Memory Optimization by Buffer Size Limits in ATLAS Derivation Production

Wesley Kwiecinski

University of Illinois Chicago

Integrating Darshan I/O Monitoring for Optimized Performance and Bottleneck Detection

Fatima Rodriguez

Northern Illinois University

HEP Analysis Workflow with RNTuple

Layne Sauer

Northern Illinois University

DUNE GPU Containerization

Hayden Shaddix

Northern Illinois University

HLS Implementation of Clustering Code

Frank Strug

University of Illinois Chicago

Columnar Data Analysis Tools for HEP Analyses

Aaron Wang

University of Illinois Chicago

Efficient Transformers

Lauren Wills

Northern Illinois University

Local Geometry and Material mapping for ACTS and Geant4