Patrick Hall is an experienced educational and industry professional specializing in machine learning and AI risk management. Currently serving as Teaching Faculty at The George Washington University since December 2015, Patrick conducts research in support of the NIST AI Risk Management Framework and administers the MSBA practicum program. In addition to teaching various graduate and undergraduate classes, Patrick has held positions as Principal Scientist at HallResearch.ai, focusing on machine learning and traditional model governance, and previously held senior roles at H2O.ai and SAS, where Patrick contributed to responsible AI efforts and influenced machine learning research directions. Patrick's diverse background includes a Master of Science in Analytics from North Carolina State University and a Bachelor of Arts in Mathematics from the University of North Carolina at Chapel Hill.
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