Yves Barbosa is an Associate at McKinsey with a decade of experience blending advanced analytics, AI/ML, and strategy to drive data-informed transformation across consulting, fintech, and scientific research. He holds a PhD in Scientific Computing and is concurrently pursuing an MBA at Stanford GSB and an MPA at Harvard Kennedy School, signaling a rare mix of technical depth and policy-minded business leadership. His background includes leading AI and data initiatives at Deloitte, building financial product models at PayJoy, and designing high-performance scientific computing solutions in academia. Yves is known for turning complex models into practical operating-model changes that improve financial decision-making and organizational outcomes. Based in Mountain View, he combines rigorous engineering discipline with a goal-oriented delivery mindset and a focus on using AI, finance, and public policy to expand economic opportunity.
10 years of coding experience
4 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at Stanford University Graduate School of Business
Master of Public Administration - MPA, Master of Public Administration - MPA at Harvard University
Doctor of Philosophy - PhD Mathematical Models and Methods in Engineering, Doctor of Philosophy - PhD Mathematical Models and Methods in Engineering at Politecnico di Milano
Bachelor of Engineering - BE Electrical Engineering, Bachelor of Engineering - BE Electrical Engineering at Escola Politécnica da USP
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