David Tran
Quantitative Research Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolDavid Tran is a Quantitative Research Engineer with eight years of experience blending high-performance systems engineering, algorithm research, and machine learning. Currently working on HFT alpha research at Citadel, he has a strong C++ and CUDA background from developing parallel polynomial-multiplication algorithms and GPU-optimized neuroscience models, backed by multiple NSERC undergraduate research awards. His internships at Apple and Snowflake sharpened systems-level engineering skills in WebKit and SQL infrastructure, while a stint at Solana Labs showcased practical Rust and blockchain deployment efficiency gains. Trained in both computer science and pure mathematics at Western University, he combines rigorous theoretical grounding with hands-on performance optimization across finance, research, and distributed systems.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science and Pure Mathematics, Bachelor of Science - BS, Computer Science and Pure Mathematics at Western University
Github Skills (52)
expression-evaluator10
javascript10
ios10
parser10
testing10
safari10
test-runner10
mathjs10
linux10
browser10
webkit10
complex-numbers10
microsoft-edge10
gtk10
latex10
Programming languages (10)
Github contributions (5)
davidtranhq/davOS
Nov 2022 - Jun 2025
An operating system written in C++.
Contributions:11 PRs, 99 pushes, 29 branches in 2 years 8 months
davidtranhq/tex-math-parser
Aug 2021 - Jan 2023
A parser that can evaluate TeX math and convert it into a MathJS expression tree.
Contributions:25 commits, 3 PRs, 25 pushes in 1 year 5 months
mathjsparserlatexmathjavascript
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