Kevin Huang
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKevin Huang is a quantitative researcher with a strong foundation in applied mathematics (Cornell ’24) and ongoing MS in Computational Finance at Carnegie Mellon, combining grad-level probability and stochastic calculus with practical programming skills in Python, Java, OCaml, and Matlab. He has translated academic rigor into real-world trading and research experience through internships at Goldman Sachs and Squarepoint, where he transitioned from intern to full-time quantitative researcher. Based in New York, Kevin brings a multidisciplinary perspective informed by minors in computer science and psychology, enabling him to blend technical modeling with behavioral insight. He has also supported computer science education as a TA at Cornell, reflecting a commitment to clear communication of complex ideas.
13 years of coding experience
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at Cornell UniversityMaster of Science - MS Computational Finance, Master of Science - MS Computational Finance at Carnegie Mellon University
Github Skills (9)
avalanche9
golang7
perl6
linux4
cpp4
windows4
swig4
programming-language3
cross-platform3
Programming languages (3)
Github contributions (5)
kyl27/dotfiles
Feb 2016 - Jun 2023
Contributions:39 pushes, 2 branches in 7 years 5 months
dotfilesdotbotinstallerzsh
kyl27/htree
May 2016 - Apr 2024
Contributions:10 pushes in 7 years 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.