Jay Vora
Quantitative Researcher
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJay Vora is a quantitative researcher with a decade of technical experience and 6.5+ years focused on high-energy physics, completing a PhD at Rutgers while conducting research at CERN's CMS experiment. He combines data science, statistical inference, and machine learning with deep experimental expertise to search for subtle signatures of new physics in large, complex datasets. Now at Optiver on the Delta One team, he applies rigorous analysis and real-time quantitative thinking to market microstructure problems. Jay’s background spans hands-on detector R&D, charge-drift simulations, and prototype construction—skills that give him a practical edge in modeling noisy, high-dimensional systems. He is driven by curiosity and collaboration, with multiple peer-reviewed publications and awards reflecting sustained research impact.
9 years of coding experience
7 years of employment as a software developer
R.N. Podar SchoolIndian Institute of Technology BombayDoctor of Philosophy - PhD, High energy physics, Doctor of Philosophy - PhD, High energy physics at Rutgers University
English, Hindi, Gujarati, French
Github Skills (6)
energy5
high-energy-physics4
deep-learning3
machine-learning3
physics3
python1
Programming languages (1)
Github contributions (5)
good-soul/V0-Analysis
Jul 2016 - Sep 2019
Contributions:13 commits, 4 PRs, 12 pushes in 3 years 2 months
particlesshort
good-soul/fuzzy-octo-guacamole
May 2022 - Jun 2022
Contributions:48 commits, 42 pushes, 1 branch in 8 days
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