Paul Dupenloup

Paul is a PhD Candidate in Management Science & Engineering, conducting research at the intersection of data science, machine learning, and operations research. His research focuses on quantifying the cost-effectiveness of AI-enabled digital health interventions and expanding access to high-value, personalized care for all patients. Prior to graduate school, he worked at McKinsey & Company, primarily advising payors, providers, non-profits, and tech companies on corporate strategy. He holds an MS in Bioengineering from Stanford and a BS in Physics and a BA in History from UCLA.