I'm a consultant/machine learning researcher/data scientist at Booz Allen Hamilton specializing in Deep Learning. In 2014 I got my doctorate in Computer Science from the University of Maryland, where I focused on the field of biologically-inspired AI. My dissertation was on executive function and cognitive control (working memory, decision making, etc.) using neural-inspired systems rather than rule-based ones — essentially trying to get computers to act in ways that are a little more like our brains and also get artificial neural networks to act a little more like traditional computers. I also did work in analyzing and modeling social networks for the Smith School of Business' Marketing Department, and I've been active in Machine Learning and Data Mining.

Outside of my academic research, I'm interested in economics and digital art. I live in Ellicott City, Maryland, with my wife, two kids, and Westie.

If you're interested in my research, projects, what I've been reading lately, etc. you can head to my website.