Meet Our New Team Members
At Predictive Engineering and Applied CAx, our work spans the full range of advanced simulation — from hypersonic structural dynamics to AI chip cooling, from oilfield wellheads to next-generation nuclear reactor cores. Solving problems at that altitude takes engineers who bring both depth and range. We are proud to welcome two new Application Engineers to the team.

C. Jaymes Dionne
Application Engineer
Jaymes brings more than six years of experience in multiphysics simulation, with specialties in CFD and molecular dynamics. His work spans nuclear energy, battery systems, semiconductor, and defense — including the development of next-generation nuclear reactor cores at Kairos Power and novel battery systems for the US Navy.
Education
- PhD, Mechanical Engineering — University of Rhode Island
- MS, Nuclear Engineering — Oregon State University
- BS, Nuclear Engineering — Oregon State University
Expertise
- Tools: Star-CCM+, SolidWorks, MATLAB/Python
- Technical: Multiphysics data analysis, conjugate heat transfer, fluid mechanics
- Functional: Design workflow, software support and troubleshooting, user training
Experience Highlights
- Simulation-Informed Design: Computational analysis applied from inception through hardware design, accelerating engineering iteration on advanced reactor cores and battery systems.
- Multiphysics Analysis: Updated heat transfer correlations for novel fluids, quantified the enhancement of passive flow capture devices, and determined operational limits of energy systems.
- Training and Support: Introduced customers and peers to innovative simulation tools through demos and case studies focused on best practices.

Brian C. Davis, PE
Application Engineer
Brian brings more than ten years of experience in finite element analysis, specializing in non-linear mechanical behavior — load path analysis, contact damage, and metal-to-metal seals. His project history spans oil and gas, nuclear energy, fundamental research, and consumer products.
Education
- PhD, Materials Science — Colorado School of Mines
- MSc, Mechanical Engineering — Colorado School of Mines
- BSc, Mechanical Engineering — UC San Diego
Licensure
- Professional Engineer, Mechanical Engineering Branch — State of Texas, Lic. No. 101993
Expertise
- Tools: Altair HyperWorks, Abaqus CAE, Python
- Technical: Non-linear finite element analysis, constitutive model development, solid mechanics
- Functional: Design workflow, software support and troubleshooting, user training
Experience Highlights
- Simulation-Informed Design: FEA applied to load path analysis of heavy lifting equipment and sealing contact pressures in oilfield wellheads, producing more robust designs ahead of physical testing.
- FEA Support for Testing: Validated models against force and displacement measurements, then predicted stress and strain where direct measurement was not possible — enabling test engineers to assess design performance in unique physical setups.
- Training and Support: Developed demos and sensitivity studies that introduced customers and peers to novel FEA techniques and fundamental behavior.
Please join us in welcoming Jaymes and Brian. Their combined expertise in CFD, multiphysics, and non-linear finite element analysis strengthens the technical depth we bring to every engagement — and reflects the kind of work we are most excited to take on next.