Summary
Bryan Wood is a Data Science Manager with over a decade of experience applying mathematical rigor to real-world problems across defense, scientific software, and research. He leads a data science team at Leidos focused on machine learning, AI, and big data for national-scale challenges, drawing on earlier work building high-fidelity ray-tracing and imaging software. His background includes a Ph.D. in applied mathematics and postdoctoral research in population genetics, giving him deep expertise in asymptotic, perturbation, and numerical methods that he translates into practical engineering solutions. Bryan has a track record at Raytheon and startups where he bridged software engineering and data science for C4ISR and UAS systems, and he bolstered his modern ML skills with Udacity nanodegrees in computer vision, NLP, and deep learning. Colleagues know him for combining analytical depth with hands-on system delivery and for enjoying cross-disciplinary problem solving that connects theory to operational impact.
10 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Applied Mathematics, Doctor of Philosophy (Ph.D.) Applied Mathematics at University of Delaware
Nanodegree Computer Vision (CV), Nanodegree Computer Vision (CV) at Udacity
English