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Jacomo Corbo

Partner, London
Uses artificial intelligence to improve organizations’ performance

About Jacomo

Jacomo is a cofounder and chief scientist of QuantumBlack, a McKinsey company. He helps major organizations adopt artificial intelligence at scale to improve their performance radically.

As the leader of QuantumBlack’s R&D efforts, Jacomo focuses on methodological innovations that can help solve clients’ most complex challenges. His work spans several industries and business endeavors, from manufacturing quality on sparse machine data to price and demand forecasts to drug-safety issues and working-capital challenges.

Jacomo has performed research funded by grants from the National Research Council Canada, National Science Foundation, and Florence Gould Foundation, as well as several large organizations. He speaks frequently at key industry forums.


Scaling AI like a tech native: The CEO’s role,” McKinsey & Company, October 2021

It’s time for businesses to chart a course for reinforcement learning,” McKinsey & Company, April 2021

AI looks North: Bridging Canada’s corporate artificial intelligence gap,” McKinsey & Company, May 2018

Lean engineering 2.0: Breakthrough performance from machine learning,” McKinsey & Company, May 2017


University of Ottawa
Canada research chair in information and performance management

Wharton School, University of Pennsylvania
Visiting scholar and research fellow

Lotus Renault F1
Chief race strategist


Harvard University
PhD, computer science
MS, applied mathematics

McGill University
BEng, electrical engineering