Kyle Foreman
Vice President, Applied Science & Engineering at QXO
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKyle Foreman is a data and machine learning leader with 14+ years building production-ready forecasting, ensemble modeling, and analytics platforms across health, logistics, and retail. He has led multidisciplinary teams at IHME, Convoy, the Gates Foundation, Amazon, and now QXO, translating novel Bayesian and microsimulation research into scalable pipelines and user-facing visualizations. His work includes building GBD Compare (praised by Bill Gates), leading the largest global health forecasting study to date, and shipping ensemble modeling tools used by dozens of researchers. Kyle combines hands-on statistical modeling and platform engineering with people development, mentoring engineers, researchers, and technical managers. He’s passionate about diversity in tech and routinely engages with the community through mentorship and open collaboration. Based in Seattle, he brings a rare mix of academic rigor (PhD in biostatistics/epidemiology) and product-focused execution that moves complex science into real-world impact.
14 years of coding experience
10 years of employment as a software developer
Master of Public Health (MPH), Health Metrics and Evaluation, Master of Public Health (MPH), Health Metrics and Evaluation at University of WashingtonPhD, Biostatistics and Epidemiology, PhD, Biostatistics and Epidemiology at Imperial College LondonBachelor's degree, Psychology and Neuroscience, Bachelor's degree, Psychology and Neuroscience at Harvard University
Github Skills (113)
probabilistic-programming10
mcmc10
bayesian-inference10
variational-inference10
bayesian10
probabilistic-models10
bayesian-statistics10
statistical-inference10
probabilistic10
modeling10
morph9
python9
data-modeling9
trains9
geospatial-analysis9
Programming languages (9)
Github contributions (5)
kforeman/GBDx
Feb 2012 - Jun 2012
Contributions:57 commits in 4 months
kforeman/PyMB
Feb 2015 - Apr 2017
Python Model Builder - fit statistical models using algorithmic differentiation
Contributions:32 commits, 34 PRs, 57 pushes in 2 years 1 month
pythondifferentiationstatisticalmachine-learningbuilder
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.