curriculum vitae

a full pdf copy of my cv can be found here

Education

• PhD Mechanical Engineering (Expected Graduation June 2025)
  Oregon State University, School of MIME
  Emphasis: Thermal Fluid Sciences
  Major Advisor: Kyle E. Niemeyer
  Minor: Nuclear Engineering
  Minor Advisor: Todd S. Palmer

• MS Mechanical Engineering (Dec 2022)
  Oregon State University, School of Mechanical, Industrial, and Manufacturing Engineering
  Emphasis: Thermal Fluid Sciences
  Major Advisor: Kyle E. Niemeyer
  Project Report: Explorations of Monte Carlo Solution and Implementation Methods for Thermal Radiation and Neutron Transport

• BS Mechanical Engineering (June 2020)
  Oregon Institute of Technology, MMET Dept.
  magna cum laude
  Minors: Applied Physics, Applied Mathematics

Research Experience

• Oregon State University, Center for Monte Carlo Neutron Transport (CEMeNT) & Niemeyer Research Group (NRG) (June 2020 - Present)
  Graduate Research Assistant
  Mentors: Kyle Niemeyer, Todd Palmer
  Projects: MC/DC, Therefore,

• Advanced Micro Devices (AMD) (September 2023 - May 2024)
  Co/Op Intern: PhD Technical; Platform Solutions
  Mentors: Damon McDougall, Chris Kime

• Los Alamos National Lab, XCP-3 (June 2022 - May 2023)
  Graduate Research Intern
  Mentors: Travis Trahan, Timothy Burke, Colin Josey
  Projects: Hybrid Delta Tracking

• Los Alamos National Lab, CCS-2 (June 2021 - June 2022)
  Graduate Research Intern
  Mentors: Alex Long, Kendra Long
  Project: Novel TRT Variance Reduction

• Argonne National Lab, Physics Division (June 2019 - September 2019)
  Lee Teng Undergraduate Fellow
  Mentor: Brahim Mustapha
  Project: cancer radio therapy x-y scanner magnet optimization

• Jefferson National Accelerator Facility, Magnet Group (June 2018 - August 2018)
  Science Undergraduate Laboratory Intern (SULI)
  Mentor: Renuka Rajput-Goshal
  Project: Super conducting quadrupole magnet optimization

Publications

• J. P. Morgan, I. Variansyah, S. Pasmann, K. B. Clements, B. Cuneo, A. Mote, C. Shaw, J. Northrop, R. Pankaj, E. Lame, B. Whewell, R. McClarren, T. Palmer, L. Chen, D. Anistratov, C. T. Kelley, C. Palmer, and K. E. Niemeyer. (2024) Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development. Accepted Journal of Open Source Software. 9(96), 6415. DOI 10.21105/joss.06415.

• J. P. Morgan, A. Mote, S. Pasmann, G. Ridley, T. S. Palmer, K. E. Niemeyer, R. G. McClarren. The Monte Carlo Computational Summit – October 25 & 26, 2023 – Notre Dame, Indiana, USA. Accepted Journal of Computational and Theoretical Transport. Preprint DOI 10.48550/arXiv.2402.08161

• J. P. Morgan, I. Variansyah, T. S. Palmer, and K. E. Niemeyer. (2023). “Exploring One-Cell Inversion Method for Transient Transport on GPU.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada DOI: 10.48550/arXiv:2305.13555.

• J. P. Morgan, T. J. Trahan, T. P. Burke, C. J. Josey, and K. E. Niemeyer. (2023). “Hybrid-Delta Tracking on a Structured Mesh in MCATK.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada. DOI: 10.48550/arXiv.2306.07847.

• I. Variansyah, J. P. Morgan, J. Northrop, K. E. Niemeyer, and R. G. McClarren. (2023). “Development of MC/DC: a performant, scalable, and portable Python-based Monte Carlo neutron transport code.” In International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering. Niagara Falls, Ontario, Canada. DOI: 10.48550/arXiv:2305.07636.

• J. P. Morgan, T. S. Palmer, and K. E. Niemeyer. (2022). “Automatic Hardware Code Generation for Neutron Transport Applications.” In Transactions of the American Nuclear Society, volume 126, p. 318–320. American Nuclear Society, Anaheim, CA. Preprint DOI: 10.5281/zenodo.6646813 DOI: 10.13182/T126-38137.

• J. P. Morgan, A. Long, K. Long, and K. E. Niemeyer. (2022). “Novel MC TRT Method: Vectorizable Variance Reduction for Energy Spectra.” In Transactions of the American Nuclear Society, volume 126, p. 276–278. American Nuclear Society, Anaheim, CA. Preprint DOI: 10.5281/zenodo.6643659. DOI 10.13182/T126-38066.

Conference Attendance & Professional Development

Future dates are trips I intended to go to.

• July 2024, SciPy, Tacoma, WA*

• May 2024, NEA Workshop for Radiation Transport Simulation Developers (RTS 2024), Frascati, Italy

• April 2024, 18th Copper Mountain Conference on Iterative Methods (SIAM), Copper Mountain, CO*

• April 2024, Sustainable Scientific Software Conference (S³C), Seattle, WA* 1

• January 2024, NUWEST, Albuquerque, NM 1, 2 unable to attend due to weather

• October 2023, Monte Carlo Summit, University of Notre Dame, South Bend, IN

• August 2023, International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (ANS M&C Intl.), Niagara Falls, ON, Canada [1] [2]*

• July 2022, Scientific Computing in Python, Austin, TX [1]*

• June 2022 American Nuclear Society Annual Conference, Anaheim, CA 1.

• October 2021, Conference on Mathematics and Computational Methods Applied to Nuclear Science (M&C 2021), Raleigh, NC
  *presented at conference

Summer Schools

• US Research Software Sustainability Institute (URSSI), January 2024, Portland, OR
  Hosted at Oregon State University Portland Center
  Attended as a teaching assistant

• High Energy Density Science Summer School (HEDS), July 2023, San Diego, CA
  Hosted at University of California San Diego

• United States Particle Accelerator School (USPAS), June 2018, Albuquerque, NM
  Course: Fundamentals of Accelerator Physics and Technology with Simulations and Measurements Lab
  Credit provided by University of New Mexico