Victoria Lloyd is a graduate student researcher and PhD candidate in physics at Stony Brook’s C.N. Yang Institute, combining theoretical cosmology with computational methods to probe dark matter and dark energy. With nine years of experience across academia and education, she applies machine learning to emulate N-body simulations and to accelerate comparison between cosmological models and data. She also teaches computational physics, emphasizing readable, optimized Fortran and C++ on UNIX systems, and has a strong track record mentoring high-school and undergraduate students in AI and physics. As project coordinator at Inspirit AI she scaled a mentorship program from ~100 to over 1000 participants and helped produce 50+ publications and competition wins, showcasing her ability to translate research into impactful education and outreach. Her background in experimental and computational collaborations—from Caltech to Brookhaven and Harvey Mudd—gives her a practical edge in bringing rigorous simulation and ML methods to frontier physics problems.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Joint Mathematics & Physics, Bachelor of Science - BS, Joint Mathematics & Physics at Harvey Mudd College
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Stony Brook University
Contributions:44 releases, 321 commits, 12 PRs in 1 year 8 months
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