Andrew Jones
Data Science
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAndrew Jones is a data scientist with a decade of experience applying machine learning and computational methods across academia and finance. He holds a PhD in Computer Science from Princeton and dual undergraduate training in Computer Science and Neuroscience from Brown, blending rigorous theory with domain-driven modeling. Andrew has transitioned research-grade expertise into production analytics at Viking Global Investors after contributing to biomedical and healthcare data projects at the Broad Institute and athenahealth. He maintains an academic presence via a personal website and Google Scholar profile, reflecting ongoing publications and research impact not obvious from his corporate roles. Based in New York, he excels at turning complex scientific problems into actionable, scalable solutions for high-stakes environments. Colleagues describe him as someone who bridges deep technical research and pragmatic data-product delivery.
10 years of coding experience
5 years of employment as a software developer
Computer Science and Neuroscience, Computer Science and Neuroscience at Brown UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Princeton University
Spanish
Github Skills (22)
principal-component-analysis10
feature-extraction9
poisson9
probabilistic9
data-storage9
gaussian9
genomics8
bioinformatics8
julia7
spatial7
bayesian-methods6
statistics6
gaussian-processes6
jekyll-theme5
jekyll5
Programming languages (2)
Github contributions (5)
andrewcharlesjones/andrewcharlesjones.github.io
Sep 2019 - Feb 2020
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:439 pushes in 5 months
templategithub-pages-templatemmistakesmistakesjekyll
andrewcharlesjones/pcpca
Nov 2020 - Nov 2021
Probabilistic contrastive principal component analysis (PCPCA)
Contributions:3 releases, 68 commits, 61 pushes in 1 year
principal-component-analysisfeature-extractiondata-storagecontrastivecomponent-analysis
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