Marc Pavese, PhD, is a scientist, investor, data and analytics expert, and technology leader with more than 25 years of experience conducting computational research, developing advanced analytics, and deploying machine learning systems in real-world decision environments.

Mr. Pavese is a retired Partner at Lord, Abbett, a $250B diversified asset manager, where he served as Head of Quantitative Research, Analytics & Technology, leading a multidisciplinary organization of researchers, analysts, data engineers, machine learning specialists, and software developers. His team built quantitative models and AI systems, analyzed diverse and complex datasets, and developed technology platforms supporting the firm’s investment strategies at scale across all asset classes, with a focus on integrating advanced analytics into production decision workflows. He also served on several of the firm’s senior governing bodies during his tenure at Lord Abbett, including the Executive, Operating, and Investment Committees. Pavese is currently an advisor and consultant on AI, data analysis, and technology. He also serves as a member of the Advisory Council of the NYU Global AI Frontier Lab, and as an Executive-in-Residence at Columbia Technology Ventures.

Earlier in his career, Pavese was a research scientist at GE Global Research, where he developed decision systems applied across industrial and financial businesses and became a co-inventor on seven patents in machine learning and decision technologies. Across these roles, his work has consistently focused on bridging advanced research with robust implementation and real-world application. These experiences inform his interest in helping researchers and innovators translate new ideas into practical technologies and ventures with broad impact.

Pavese received his PhD in Theoretical Physical Chemistry from the University of Pennsylvania and his BA in Chemistry from Columbia University.