Summary
Philip Schrodt is a senior research scientist and veteran computational social scientist with five decades of programming and method-building experience, now leading data and forecasting work at Parus Analytics. He combines a Ph.D. in political science and an M.A. in mathematics with deep expertise in NLP, neural transformers, machine learning, and event-data systems—most notably the core technology behind DARPA's ICEWS. After a 40-year academic career that included tenured professorships and leadership at research centers, he pivoted to applied forecasting and remote consulting for governments and NGOs. His portfolio spans NSF, DARPA, and IARPA projects and nearly 100 academic publications, reflecting rare depth in both theory and production-ready statistical software. Not obvious from a résumé: he was writing AI code in the 1980s and continues to bridge historical methods and modern ML in operational political forecasting.
11 years of coding experience
21 years of employment as a software developer
Ph.D, Political Science, Ph.D, Political Science at Indiana University Bloomington