Summary
Anthony Carreon is a PhD candidate in Aerospace Engineering at the University of Michigan who builds GPU-accelerated AI and high-performance computing tools to speed simulation and discovery in combustion, fluid dynamics, and hydrogen safety. He combines expertise in generative models, LLM-driven code workflows, and roofline-guided hardware–software co-design—having optimized solvers to scale across up to 96 NVIDIA H100 GPUs with 2–5x speedups. Prior work at NASA JPL on ice morphology for Europa and a visiting research stint modeling hydrogen leakage reflect a blend of planetary science and energy-systems safety. Deeply committed to widening STEM access, he mentors K–12 students, teaches generative AI workshops, and speaks about first-generation pathways into research. Outside the lab he trains for ultramarathons, bakes intricate desserts, and builds robots—evidence of a hands-on problem-solver who balances rigor with creativity.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science, Computer Engineering, Bachelor of Science, Computer Engineering at The University of Texas at Austin
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at University of Michigan College of Engineering