Adam Zeilinger
Research Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolAdam Zeilinger is a research data scientist in Berkeley with over a decade of applied experience at the intersection of machine learning, epidemiology, and environmental and financial risk analysis. He builds Bayesian and spatio-temporal models to quantify and communicate severe uncertainties, routinely interrogating hidden assumptions to improve decision-making and reduce costly trial failures. His work spans academia, startups, and finance—from leading epidemiological modeling for plant disease to shaping AI risk governance and statistical standards in industry. Adept in R, Python, SQL, and C++, he translates stakeholder needs into rigorous data products and clear risk communication for both technical and nontechnical audiences. Motivated by socio-ecological impact, he combines ecological training (PhD in Conservation Biology) with hands-on data science to tackle climate- and disease-related risks in biotech, epidemiology, and finance.
12 years of coding experience
16 years of employment as a software developer
Ph. D Conservation Biology, Ph. D Conservation Biology at University of MinnesotaUniversity of California Santa Cruz
English, SpanishGithub contributions (5)
arzeilinger/potato_psyllid_distribution_modeling
Nov 2015 - Dec 2017
Contributions:1 release, 132 commits, 53 pushes in 2 years 1 month
arzeilinger/pdr1_preference
Dec 2016 - Dec 2024
Contributions:1 release, 14 pushes, 1 branch in 8 years 1 month
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