Summary
Christian Alexander is an experienced research engineer and soon-to-be MS graduate in Computer Science at Virginia Tech with 11 years of professional experience bridging applied research and engineering. He currently serves as a Graduate Teaching Assistant and Graduate Research Assistant, bringing hands-on expertise in algorithms, IMM filtering theory/application, and tooling from internships at Johns Hopkins APL. His background includes machine learning research and applied systems work at Stratus Solutions and Apogee Research, where he translated theoretical models into production-ready tooling. Comfortable in both academic and government lab settings, he excels at turning complex sensor and estimation problems into practical software solutions. Based in Vienna, Virginia, he combines a strong mathematics foundation from University of Maryland with applied CS research rigor, often focusing on the intersection of ML, signal processing, and engineering systems. Colleagues describe him as the kind of engineer who moves seamlessly from whiteboard theory to deployable code.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Virginia Tech
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at University of Maryland, College Park