Bio
Patrick Hall is principal scientist at bnh.ai, a D.C.-based law firm focused on AI and data analytics. He also serves as visiting faculty at the George Washington University School of Business (GWSB), where his teaching and research touch on data mining, machine learning, and the responsible use of these technologies. Among other academic and technology media writing, Patrick is the primary author of popular e-books on explainable and responsible machine learning.
Before co-founding bnh.ai, Patrick led responsible AI efforts at H2O.ai, a leading machine learning software firm. His work at H2O.ai resulted in one of the world’s first commercial solutions for explainable and fair machine learning. Prior to joining H2O.ai, Patrick held global customer-facing and R&D roles at SAS, where he authored multiple patents in automated market segmentation using novel clustering methods and deep learning. While at SAS, he also became the 11th person worldwide to become a Cloudera certified data scientist. Patrick studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.
