I am an applied data scientist and technology leader who thinks the world is best understood through strong theory vetted by rigorous empirical testing. While my doctoral work focused on adversarial social science phenomena, I’ve since worked at on myriad projects across methodologies and substantive domains (recently, e.g. Bayesian measurement models of supply chain risk; graph convolution networks for classifying cyber domain reputation; hierarchical models to predict lead times for rare and sensitive items; and spatial optimization for placing force protection assets in battlespace)
Underlying all of the above is a passion for generating impactful technology through experimentation, rigor, and thoughtful collaboration.
Hobby projects (many in-progress or partially abandoned) are over on GitHub. I also post slides and links to talks when possible.