Summary
William Brannon is a research-focused AI and machine learning practitioner with 13 years of experience bridging political data science and academic research. Based at MIT Media Lab as a Research Assistant while completing an MS and PhD in Media Arts and Sciences, he specializes in LLMs, data-centric AI, and applied modeling developed through both academic projects and industry internships like AWS Applied Science. His background includes leading analytics roles for major political campaigns and organizations, where he translated messy field data into measurable program impact. Comfortable moving between research and production contexts, he combines rigorous mathematical training (BS in Mathematics, 3.82) with hands-on experimentation in large models and dataset engineering. Notably, his career arc reflects a recurring theme of turning policy-scale problems into actionable data science research rather than only product-driven engineering.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Mathematics, 3.82, Bachelor of Science - BS, Mathematics, 3.82 at The College of William and Mary
Master of Science - MS, Media Arts and Sciences, Master of Science - MS, Media Arts and Sciences at Massachusetts Institute of Technology
Westfälische Wilhelms-Universität Münster
German, English