Colin Van Oort
Lead Computational Finance Scientist
Town of Sand Lake, New York, United States
Summary
👤
Senior🎓
Top SchoolColin Van Oort is a Lead Computational Finance Scientist with 11 years of experience applying machine learning and complex-systems thinking to market microstructure and financial data. Based at MITRE and concurrently pursuing a PhD in Complex Systems and Data Science at the University of Vermont, he blends rigorous academic research with operational analytical work on U.S. equity market design. His background spans quantitative research, graduate teaching in mathematics and CS, and hands-on engineering roles that translate theory into measurable market insights. Notably, he has investigated market inefficiencies and time-series properties while advancing production-ready computational methods for finance. Based in rural New York, he brings a rare mix of deep theoretical training and practical, cross-disciplinary problem solving.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Complex Systems and Data Science, Doctor of Philosophy - PhD, Complex Systems and Data Science at University of Vermont
Github Skills (25)
digital-humanities9
text-analysis9
bag-of-words9
information-theory9
computational-social-science8
sentiment-analysis8
data-visualizations7
lda7
hyperbolic7
clustering6
natural-language-processing6
clustering-algorithm6
embedding5
data-visualization5
visualization5
Programming languages (2)
Github contributions (5)
network-embeddings/hc_embedding
May 2019 - May 2019
A Python implementation of "Machine learning meets complex networks viacoalescent embedding in the hyperbolic space".
Contributions:27 commits, 7 PRs, 28 pushes in 1 day
pythonpython-implementationmachine-learningcomplex-networksmeets
cvanoort/cvanoort.github.io
Aug 2016 - Dec 2016
Contributions:86 pushes, 1 branch in 3 months
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