Jonathan Hodges
Lead Research Engineer at UL Research Institutes
Blacksburg, Virginia, United States
Summary
👤
Senior🎓
Top SchoolJonathan Hodges is a Lead Research Engineer with nine years of experience blending computational fluid dynamics, machine learning, and fire science to solve high-consequence safety problems. He holds a PhD in Mechanical Engineering from Virginia Tech and has led advanced modeling teams at Jensen Hughes before joining UL Research Institutes, driving projects from wildland fire spread CNNs to ML-enabled maintenance analytics for the nuclear industry. A hands-on developer and contributor to the widely used Fire Dynamics Simulator (FDS), he’s comfortable modifying legacy Fortran combustion code as well as building TensorFlow pipelines for real-time prediction. Jonathan pairs deep domain expertise in fire behavior and sensor systems with pragmatic software and optimization skills, and he often bridges academic research and deployable engineering solutions. Based in Blacksburg, VA, he has a track record of turning reduced-scale experiments and inverse analyses into predictive tools for full-scale safety assessment.
9 years of coding experience
16 years of employment as a software developer
Master's Degree Mechanical Engineering, Master's Degree Mechanical Engineering at Clemson UniversityHigh School Diploma, High School Diploma at Ben Lippen High SchoolDoctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at Virginia Tech
Github Skills (6)
simulations10
simulation10
fortran10
computational-fluid-dynamics10
simulator10
matlab8
Programming languages (6)
Github contributions (5)
firemodels/fds
Feb 2022 - Oct 2022
Fire Dynamics Simulator
Role in this project:
Backend Developer
Backend DeveloperContributions:4 reviews, 40 commits, 73 PRs in 8 months
Contributions summary:Jonathan primarily contributed to the `fds` repository by modifying and updating Fortran code within the project. The commits focused on refining existing code, specifically within files related to combustion calculations and atmospheric wind modelling, indicating a focus on the core computational aspects of fire simulation. Further modifications included updating legend calls within a Matlab script, demonstrating skills in data visualization related to the simulation results. The user also merged updates from the `firemodels:master` branch, signifying a role in maintaining the project's overall integration and code base.
fire-dynamicssimulationsimulatordynamicsfire-dynamics-simulator
johodges/mbzirc_c2_auto
Oct 2016 - May 2018
Contributions:181 commits, 31 PRs, 169 pushes in 1 year 7 months
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