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Gabriel Morgan Asaftei

Solution Associate Partner, New York
Develops applications powered by artificial intelligence and machine learning for real estate, retail, and financial services companies

About

As an expert in McKinsey’s Financial Services Lab (FinLab), Gabriel designs and implements innovative applications powered by artificial intelligence and machine learning (AI/ML) for companies in real estate, retail, private equity, asset management, and banking as well as other financial services companies. Utilizing a blend of machine learning, geospatial analytics, and natural language processing models—with both structured and unstructured data sets—Gabriel provides clients with the insights they need to make data-driven strategic business decisions.

Examples of Gabriel’s recent client work include the following:

  • leading the development and production implementation of an AI/ML-powered portfolio risk-management application for a large investor in real estate assets
  • leading the development and production implementation of an AI/ML-powered automated valuation engine for a large financial institution
  • building the digital and analytics capabilities for a large real estate lender, allowing its executives to more systematically identify new opportunities and operate in markets where they do not have an intuitive understanding of the market

Before joining McKinsey, Gabriel was the lead data scientist for real estate and financial services in the advanced analytics arm of a multinational technology company. There he led teams of data scientists and developers who built end-to-end geospatial applications using machine learning, natural language, and other artificial intelligence models. Before that, Gabriel performed economic valuations and analytics studies for Fortune 100 financial services clients at a multinational professional services firm.

Gabriel is a frequent speaker at industry and academic conferences on how companies in the real estate and financial services industries can use the power of data science and machine learning to make strategic decisions. He has also published articles in peer-reviewed finance and economics journals, including Journal of Banking & Finance, Journal of Regulatory Economics, Macroeconomic Dynamics, and Journal of Comparative Economics.

He serves as an advisor to the Harvard Business School Alumni Angels of New York, a network of more than 300 angel investors, and to The Boardroom, a hands-on learning experience for Harvard Business School MBA candidates that simulates leadership challenges faced by executives.

Published work

Getting ahead of the market: How big data is transforming real estate,” McKinsey & Company, October 2018

Past experience

IBM Watson
Lead data scientist, Advanced Analytics Center of Competency

Deloitte
Senior manager

University of Richmond
Assistant professor

Education

Harvard Business School
Executive MBA

Binghamton University
PhD, economics
MA, mathematics