Summary
Shilad Sen is an AI scientist and professor with 14+ years of experience delivering practical, research-driven AI products across industry leaders like Microsoft, Google, Target, and Indeed while also teaching and mentoring the next generation of data scientists at Macalester College. He specializes in applying state-of-the-art LLMs and recommender systems to high-impact product problems, leading GenAI initiatives that bridge research and production. His background spans scalable engineering (including distributed Word2Vec at Target) and academic research with publications, awards, and media coverage in outlets such as The Atlantic and The New York Times. Comfortable moving between lab, classroom, and product teams, he pairs deep technical rigor with a collaborative, cross-disciplinary approach informed by a rare dual career in industry and higher education.
14 years of coding experience
25 years of employment as a software developer
Ph.D Computer Science, Ph.D Computer Science at University of Minnesota
Post-Baccalaureate Computer Science, Post-Baccalaureate Computer Science at Tufts University
BM BA Saxophone Performance Math, BM BA Saxophone Performance Math at Northwestern University