Ronan Perry
Graduate Student Researcher
United States
Summary
🤩
Rockstar🎓
Top SchoolRonan Perry is a PhD student and graduate student researcher in Statistics at the University of Washington with eight years of experience bridging statistical machine learning and biomedical applications. He previously held research scientist roles at the Max Planck Institute (as a Fulbright Scholar) and Johns Hopkins, where he also earned an MS in Biomedical Data Science and contributed statistical consultation to biomedical projects. Ronan has published work on statistical machine learning, led development of open-source tools, and spent an industry internship at LinkedIn’s Data and AI Foundations team, giving him practical experience applying research in production settings. His current research emphasizes causal inference, reproducible science, and principled statistical practices, reflecting a commitment to transparent, usable methods. A less obvious strength is his cross-disciplinary background—from bioengineering through applied math to statistics—which helps him translate domain questions into rigorous statistical solutions.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of WashingtonIthaca High SchoolJohns Hopkins UniversityTechnical University of Denmark
Github Skills (40)
sparse10
projection10
python10
data-science10
classification10
nearest-neighbors10
r10
statistics10
machine-learning10
hypothesis-testing10
scikit-learn10
cpp10
random-forest10
data-analysis10
causal9
Programming languages (6)
Github contributions (5)
thomasnilsson/02805-social-graphs-2018
Oct 2018 - Dec 2018
Contributions:23 commits, 13 pushes in 2 months
neurodata/meditation
Jul 2019 - Apr 2021
Contributions:125 pushes, 3 branches in 1 year 9 months
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