Christopher Tran
Mathematician (Data Scientist)
United States
Summary
👤
Senior🎓
Top SchoolChristopher Tran is a mathematician and data scientist with nine years of research and applied experience in machine learning, causal inference, and social network analysis. Currently a Mathematician (Data Scientist) at the U.S. Securities and Exchange Commission and a PhD candidate at the University of Illinois at Chicago, he blends rigorous theoretical training with practical work on real-world problems. His background spans academic research assistantships and industry roles at SIFT and STATS LLC, where he translated advanced models into actionable insights. He has taught foundational computing and ML courses, signaling strong communication skills alongside technical depth. Christopher’s dual undergraduate degrees in Mathematics and Computer Science (near-perfect GPAs) and early NASA-funded research hint at both analytical rigor and a curiosity for interdisciplinary problems. He is particularly focused on causal methods for networked data, bringing a rare combination of math-first thinking to applied regulatory analytics.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Illinois at ChicagoBachelor’s Degree, Mathematics, 3.90, Bachelor’s Degree, Mathematics, 3.90 at Delaware State University
English, Chinese
Github Skills (33)
jupyterlab9
causal9
heterogeneous9
ctl8
jupyterlab-extension8
jupyter8
simulation7
igraph7
python7
syntax-highlighting6
jupyter-widget6
networkx6
random-walk6
jupyter-notebook5
css5
Programming languages (6)
Github contributions (5)
christran16/pyCausalFS
Nov 2021 - Jan 2022
A fork of pyCausalFS: A Python Library for Local Structure Learning
Contributions:20 commits, 2 PRs, 17 pushes in 2 months
python-librarystructure-learningpython
edgeslab/CTL
Jun 2018 - Oct 2022
A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
Contributions:3 reviews, 15 commits, 9 PRs in 4 years 4 months
pythontreatment-effectsheterogeneouscausal-treecausal
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