Summary
Alexander Barron is a Post-Doctoral Associate and quantitative social scientist who blends measurement-driven curiosity with computational rigor to study cultural innovation, political power, and collective identity. With a PhD in Complex Systems and Informatics and eight years of experience, he applies NLP, machine learning, information theory, and network analysis to extract novel signals from unconventional data sources — from parliamentary speeches of the French Revolution to social media and the Bitcoin blockchain. He has a track record of taking messy exploratory projects through to clear insights and compelling communication, often inventing new tools and metrics along the way. Comfortable teaching core mathematical and data skills, he pairs deep technical fluency with a flair for storytelling and interdisciplinary collaboration. An unusual strength is his habit of seeking overlooked data modalities and turning them into decisive evidence about human cultural processes.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Complex Systems and Informatics, 3.96 GPA, Doctor of Philosophy (PhD), Complex Systems and Informatics, 3.96 GPA at Indiana University Bloomington
Bachelor of Science, Physics, Applied Mathematics, 3.90 GPA, Bachelor of Science, Physics, Applied Mathematics, 3.90 GPA at The University of New Mexico