About

 Email: achall@usna.edu

Physics Department
The United States Naval Academy
572C Holloway Road
Annapolis, MD 21402

Education and Professional Experience

• United States Naval Academy (2021 – Present)
  • Assistant Professor, Physics Department
• Fermi National Accelerator Laboratory (2018 – 2021)
  • Postdoctoral research associate, Scientific Computing Division
• University of Notre Dame (2013 – 2018)
  • Ph.D., May 2018
  • Dissertation: “Searching for gauge-mediated supersymmetry breaking”
• College of Saint Benedict/St. John’s University (2009 – 2013)
  • B.A., Applied Physics

Courses taught at USNA

• SP211 General Physics I
• SP212 General Physics II
• SP333 Physical Mechanics II

Research interests

• Experimental high energy particle physics
• Searching for dark matter or other undiscovered particles using the CMS detector at the Large Hadron Collider at CERN
• Scientific computing, including applying data science techniques to high energy physics and algorithm optimization for heterogeneous computing

Select Publications

Author on over 950 publications by the CMS Collaboration, with significant contributions to the following. Full list available here.

• "Dark sector searches with the CMS experiment", CMS Collaboration, Physics Reports 1115 (2025) 448–569. doi 10.1016/j.physrep.2024.09.013
• "Search for Inelastic Dark Matter in Events with Two Displaced Muons and Missing Transverse Momentum in Proton-Proton Collisions at sqrt(s) = 13TeV", CMS Collaboration, Phys. Rev. Lett. 132 (2024) 041802, doi 10.1103/PhysRevLett.132.041802
• “Training and onboarding initiatives in High Energy Physics experiments", A. Reinsvold Hall et al, Frontiers in Big Data 8 (2025) doi 10.3389/fdata.2025.1497622
• “Exploring code portability solutions for HEP with a particle tracking test code", H. Ather, S. Berkman, G. Cerati, M. Kortelainen, K. Kwok, S. Lantz, B. Norris, S. Lee, M. Reid, A. Reinsvold Hall, D. Riley, A. Strelchenko, & C. Wang, Frontiers in Big Data 7 (2024) doi 10.3389/fdata.2024.1485344
• "Constraints on future analysis metadata systems in High Energy Physics", T. Khoo et. al., Computing and Software for Big Science 6 (2022), doi 10.1007/s41781-022-00086-2
• "Speeding up particle track reconstruction using a parallel Kalman filter algorithm", S. Lantz et. al., JINST 15 (2020) 09, doi 10.1088/1748-0221/15/09/p09030,  arXiv:2006.0007"
• "Combined search for gauge-mediated supersymmetry with photons in 13 TeV collisions at the CMS experiment", CMS Collaboration, Phys. Lett. B 801 (2020) 135183, doi 10.1016/j.physletb. 2019.135183, arXiv:1907:00857