Summary
Edward Chen is a Stanford CS PhD candidate specializing in machine learning research on multi-objective optimization and preference learning, with nine years of industry and academic experience bridging theory and production. His background spans robotics and computer vision from a CMU MS to time-series research during a Google internship, plus earlier software engineering roles at Appian and internships in finance and healthcare systems. He combines rigorous statistical training (BS in CS and Statistics) with practical systems experience, enabling work that is both mathematically grounded and implementable at scale. Based in Palo Alto, he pursues research that connects human preferences to automated decision-making—an angle informed by diverse applied-team stints rather than pure open-source credentials.
10 years of coding experience