Summary
Drew Tyre is a Resistance Modeller and statistical ecologist with 20+ years of experience applying ecological theory, data science, and evolutionary forecasting to real-world resource and product management. He has moved between academia and industry—leading large research programs and curricula at the University of Nebraska and now translating historical datasets into actionable resistance-management strategies at Bayer. His work spans advanced statistical methods (GLMs, GAMs, mixed models, time-to-event, supervised learning) and optimization techniques used for conservation planning and aquaculture siting. An author of 70+ peer-reviewed publications, he combines rigorous methodological innovation (including approaches to false-negative detection) with hands-on training of graduate students in R and structured decision-making for managers. Based in Omaha, Drew blends theoretical ecology with pragmatic forecasting to guide decisions that balance ecological outcomes and operational constraints.
10 years of coding experience
23 years of employment as a software developer
BSc. with Honours, Zoology, BSc. with Honours, Zoology at University of Alberta
Doctor of Philosophy (PhD), Natural Resources and Conservation, Doctor of Philosophy (PhD), Natural Resources and Conservation at University of Adelaide
MSc, MSc at Simon Fraser University