Exprentis
Tom Dybala, Ph.D., is a highly experienced professional in the field of regulatory data science and advanced R&D analytical services, serving as the Managing Partner at Exprentis, Inc. since April 2005. With a robust background in model development, optimization, and validation focused on Anti-Money Laundering, Financial Crime Risk, and KYC regulations, Tom has held significant roles at various financial institutions, including Societe Generale, UBS, Union Bank, and Morgan Stanley. Educationally, Tom holds a Ph.D. in Information Technology from George Mason University and a Master's degree in Computer Science from AGH University of Krakow.
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Exprentis
Exprentis specializes in business process analytics, data mining, model validation, technology research and risk management services.