Oliver Hines
Postdoctoral Researcher at Columbia University
New York, New York, United States
Summary
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Senior🎓
Top SchoolOliver Hines is a postdoctoral researcher and former QuantCo data scientist with nine years’ experience applying statistics, causal inference, and machine learning to healthcare problems. Based at Columbia University, he develops methods targeted at improving treatment for opioid use disorder, blending rigorous biostatistics from his PhD with practical ML deployments. His background spans academia and industry—from The Alan Turing Institute’s COVID-19 analyses to quantitative engineering at Credit Suisse—giving him fluency in both methodological innovation and real-world data constraints. Trained in theoretical physics and statistics at Imperial College and LSHTM, he brings a rare combination of mathematical depth and applied causal expertise. Outside research he has coached competitive rowing, reflecting a track record of leadership and team development beyond the lab.
9 years of coding experience
3 years of employment as a software developer
International Baccalaureate, 42, International Baccalaureate, 42 at King's College School WimbledonMSc, Statistics, Distinction, MSc, Statistics, Distinction at Imperial College LondonDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at London School of Hygiene and Tropical Medicine, U. of London
French, English, German
Github Skills (14)
apache-arrow10
dataframes10
rust10
threaded10
python10
polars10
dataframe10
hybrid9
genome3
bioinformatics2
water1
masters1
data-science1
data-analysis1
Programming languages (3)
Github contributions (5)
ohines/teffectsR
Apr 2020 - Jan 2021
R versions of Stata teffects functions
Contributions:1 release, 6 commits, 2 PRs in 9 months
ohines/ohines.github.io
Mar 2021 - Mar 2025
Personal website of Oliver Hines
Contributions:13 PRs, 17 pushes, 11 branches in 4 years
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