Daniel Woodie
Advisor at Eli Lilly and Company
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolDaniel Woodie is a statistician and developer with nine years of experience applying Bayesian methods, Monte Carlo simulation, and data visualization to real-world problems in pharma and analytics. He has held senior roles at Eli Lilly and Merck and built statistical software at Berry Consultants, bridging rigorous modeling with production-ready tooling in R and d3. Trained with dual master's degrees in Statistics and Behavioral Neuroscience from UT Austin, he combines quantitative rigor with domain insight into experimental and clinical data. Based in Austin, he is equally comfortable designing forecasting models and crafting interactive visualizations that make complex uncertainty accessible to stakeholders. Notably, his career blends hands-on development and advisory leadership, moving models from simulation to decision-making in regulated environments.
9 years of coding experience
9 years of employment as a software developer
Masters, Statistics, Masters, Statistics at The University of Texas at AustinBS, Biology and Psychology, BS, Biology and Psychology at Texas A&M UniversityGithub contributions (5)
dwoodie/shinystyle
Mar 2017 - Jul 2017
Contributions:5 commits, 4 pushes, 1 branch in 4 months
dwoodie/Workshops
Jun 2017 - Jun 2017
Contributions:26 pushes, 1 branch in 11 days
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