Summary
David Defazio is a Machine Learning Engineer based in Durham, NC with 11 years of experience blending research-grade ML and robotics into deployed systems. Currently at CoVar, he brings a strong academic foundation (PhD, MS, BS in Computer Science from Binghamton) and hands-on experience building autonomous navigation with ROS 2 and PX4 as well as probabilistic models for chemical identification using Bayesian CNNs. His background includes research internships at AFRL and PNNL where he explored meta-learning, neural generalization, and uncertainty quantification—skills he pairs with practical web interfaces to make model uncertainty actionable. David’s profile is notable for bridging theoretical experiments (mutual information analyses) with real-world robotics and ML engineering, making him comfortable across simulation, data-driven modeling, and production tooling.
11 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Binghamton University
English