Ngoc Tran
Quantitative Researcher
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolNgoc Tran is a quantitative researcher with 12 years of experience who blends deep mathematical theory with hands-on trading research, now at Jump Trading after roles at Chicago Trading Company and a decade in academia. Trained with a PhD from UC Berkeley, Ngoc applies tools from algebraic, stochastic and tropical geometry to practical problems—from optimizing portfolios and modeling market impact to spike sorting and causal inference for extremes. Comfortable in small, high-performance teams, Ngoc is known for shipping fast, efficient code that turns abstract ideas into deployable solutions. A former assistant professor and Simons postdoc, they bring rare depth in both rigorous proof-driven research and real-world quantitative engineering.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics and Statistics, Doctor of Philosophy (PhD), Mathematics and Statistics at University of California, BerkeleyBachelor of Mathematics, Mathematics, Bachelor of Mathematics, Mathematics at University of NewcastleThe University of Melbourne
Vietnamese, Japanese, Spanish, English
Github Skills (19)
resolutions8
causal6
mathematics6
interpreted-programming-language6
polynomials6
discovery5
cas5
symbolic-computation5
algebra4
geometry4
macaulay23
causal-discovery3
computer-algebra-system3
math3
ffmpeg2
Programming languages (3)
Github contributions (5)
princengoc/qtree
Feb 2021 - Jul 2022
qtree algorithm for causal discovery from extremes on river networks
Contributions:1 review, 8 commits, 4 PRs in 1 year 5 months
extremesrivercausaldiscoverycausal-discovery
princengoc/princengoc.github.io
Nov 2023 - Mar 2025
Contributions:21 pushes, 1 branch in 1 year 3 months
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