Afsheen Afshar is a senior business executive and deep technical/AI expert who has extensive experience across a variety of industries and enterprises driving large scale technological transformation associated with hundreds of millions in value. He regularly advises start-ups, universities, investors, enterprises, and others across the globe on how best to leverage modern technology. Current appointments include technical advisor to Aginity, Inc., and DotAlign, Inc.
Most recently, he was the chief artificial intelligence officer and a senior managing director at Cerberus, where his role was to start and lead the development of a proprietary data and advanced analytics platform, the goal of which was to empower Cerberus‘s portfolio companies and trading desks across the asset management and operate companies with actionable insights that extract measurable value out of raw data. During his tenure, he was seconded to Albertsons Companies as the EVP and interim chief data and analytics officer, where he led the standing up a modern analytics and data function, inclusive of its strategy, organization, and infrastructure. Applications ranged from personalized product recommendation systems to store labor optimization.
Prior to joining Cerberus, Dr. Afshar was the chief data science officer and managing director of JPMorganChase’s Corporate and Investment Bank (>$40B in revenue), responsible for data science efforts across every business and supporting function of that part of the firm. Prior to that, he was a managing director at Goldman Sachs, where he led the data science, engineering, and machine learning teams that worked across multiple businesses. His teams have created products ranging from improved management of operations risk to assisting investment bankers on prioritizing deal flow.
Dr. Afshar holds dual-doctorate degrees (MD and PhD) from Stanford University. His PhD is in Electrical Engineering with a focus on AI/machine learning and neuroscience (advisor: Krishna Shenoy; co-advisor: Andrew Ng). He also holds a masters’ in Electrical Engineering from Stanford, and a bachelor’s in Electrical Engineering from Princeton University.