Erik Drysdale
Machine Learning Scientist - Uncertainty Quantification & Influencer Analysis
United States
Summary
👤
Senior🎓
Top SchoolErik Drysdale is a machine learning scientist with nine years of experience applying statistics and ML to healthcare problems, currently focused on uncertainty quantification and influencer analysis at Eli Lilly. Trained with a Master of Statistics and an MA in Economics, he blends rigorous probabilistic modeling, survival analysis, and high-dimensional inference to turn noisy clinical and biological data into actionable insights. His career spans hospital research (SickKids), consulting (BCG), and industry roles where he has moved methods from prototype to production in regulated environments. Erik’s background in economics and policy analysis gives him a rare strength in causal thinking and communicating technical uncertainty to non-technical stakeholders. Colleagues describe him as someone who bridges deep theory and practical deployment, often surfacing subtle failure modes before they reach production.
9 years of coding experience
8 years of employment as a software developer
Master of Statistics, Master of Statistics at Queen's UniversityBachelor of Arts (BA) Honours Economics, Bachelor of Arts (BA) Honours Economics at Simon Fraser University
Github Skills (13)
pandas9
data-structures8
data-analysis8
data-science8
manipulation8
python8
frame8
data-manipulation7
dataframes7
lift5
synthetic3
geo3
methodology3
Programming languages (4)
Github contributions (5)
ErikinBC/SurvSet
Jan 2022 - Mar 2022
Contributions:48 commits, 7 pushes, 3 comments in 1 month
goldenberg-lab/GICell
Apr 2020 - Jan 2022
Contributions:125 pushes in 1 year 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.