General Lab Information

Vincent Pascuzzi

Research Associate, Computation and Data-Driven Discovery, Computational Science Initiative

Vincent Pascuzzi

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-106
P.O. Box 5000
Upton, NY 11973-5000

Dr. Pascuzzi works currently in the Computation and Data-Driven Discovery (C3D) and High Performance Computing (HPC) groups at BNL's Computational Science Initiative. He holds Ph.D. and M.Sc. degrees in physics from the University of Toronto and B.Sc. in physics and computer science from Brock University. Prior to joining BNL in September 2021, he was a Postdoctoral Research Scholar at Lawrence Berkeley National Laboratory, focused on hetergeneous and HPC applications for high-energy physics, as well as quantum information science. His research interests include performance portability for high-performance computing, large-scale workflow systems for scientific applications and quantum computing. 

Expertise | Research | Education | Appointments | Publications | Awards


  • High Performance Computing
  • Data Analysis
  • High Energy Physics
  • Computational Physics
  • Quantum Computing

Research Activities

  • Scientific workflows
  • Performance Portability
  • Quantum Error Mitigation


Doctor of Philosophy, Physics
University of Toronto,  Toronto, Ontario, Canada
September 2015 — September 2019

Master of Science, Physics
University of Toronto, Toronto, Ontario, Canada
September 2014 — September 2015

Bachelor of Science,  Physics and Computer Science
Brock University, St. Catharines, Ontario, Canada
September 2010 — April 2014

Professional Appointments

Research Associate
Computational Science Initiative
Brookhaven National Laboratory, Upton, NY USA
September 2021 — Present

Postdoctoral Research Scholar
Physics Division
Lawrence Berkeley National Laboratory, Berkeley, CA USA
October 2019 — September 2021

Selected Publications

  • Johnson SR, Tognini SC, Canal P, Evans T, Jun SY, Lima G, Lund A, Pascuzzi VR (2021) Novel features and GPU performance analysis for EM particle transport in the Celeritas code. EPJ Web of Conferences 251:03030. doi: 10.1051/epjconf/202125103030
  • Dong Z, Gray H, Leggett C, Lin M, Pascuzzi VR, Yu K (2021) Porting HEP Parameterized Calorimeter Simulation Code to GPUs. Frontiers in Big Data. doi: 10.3389/fdata.2021.665783
  • Chapman J, Cranmer K, Gadatsch S, Golling T, Ghosh A, Gray HM, Lari T, Pascuzzi VR, Raine JA, Rousseau D, Salamani D, Schaarschmidt J (2020) Fast simulation methods in ATLAS: from classical to generative models. EPJ Web of Conferences 245:02035. doi: 10.1051/epjconf/202024502035
  • Albrecht J, Alves AA, Amadio G, Andronico G, et al. (2019) A Roadmap for HEP Software and Computing R&D for the 2020s. Computing and Software for Big Science. doi: 10.1007/s41781-018-0018-8
  • Anco SC, Meadows T, Pascuzzi V (2016) Some new aspects of first integrals and symmetries for central force dynamics. Journal of Mathematical Physics 57:062901. doi: 10.1063/1.4952643

Awards & Recognition

Computational High Energy Physics Award with Fermi Research Alliance
Lawrence Berkeley National Laboratory, Berkeley, CA USA
April 2020 — September 2021

Graduate Research Fellow
University of Toronto, Toronto, ON Canada
September 2017 — September 2019

E.C. Stevens Award (Physics)
University of Toronto, Toronto, ON Canada
September 2016 — September 2017

Undergraduate Research Fellow
University of Toronto, Toronto, ON Canada
April 2014 — September 2014

Natural Sciences and Engineering Research Council of Canada
    Undergraduate Student Research Award

Brock University, St. Catharines, ON Canada
April 2012 — September 2012

Vincent Pascuzzi

Brookhaven National Laboratory

Computational Science Initiative
Bldg. 725, Room 2-106
P.O. Box 5000
Upton, NY 11973-5000

Vincent's Links