Patrick Hall is a principal scientist at bnh.ai, a D.C.-based law firm specializing in AI and data analytics. Patrick also serves as a visiting faculty member at the George Washington University School of Business, where his teaching and research interests focus on data mining, machine learning, and the responsible use of these technologies. Before co-founding bnh.ai, Patrick led responsible AI efforts at H2O.ai, a prominent 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. Among other academic and technology media writing, Patrick is the primary author of popular e-books on explainable and responsible machine learning. Before 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. He was also the 11th person worldwide to become a Cloudera certified data scientist during these years. Patrick studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.

Agus Sudjianto is an executive vice president and head of Corporate Model Risk for Wells Fargo, where he is responsible for enterprise model risk management. Prior to his current position, Agus was the modeling and analytics director and chief model risk officer at Lloyds Banking Group in the United Kingdom. Before joining Lloyds, he was a senior credit risk executive and head of Quantitative Risk at Bank of America. Prior to his career in banking, he was a product design manager in the Powertrain Division of Ford Motor Company. Agus holds several U.S. patents in both finance and engineering. He has published numerous technical papers and is a co-author of Design and Modeling for Computer Experiments. His technical expertise and interests include quantitative risk, particularly credit risk modeling, machine learning and computational statistics. He holds masters and doctorate degrees in engineering and management from Wayne State University and the Massachusetts Institute of Technology.

Nicholas Schmidt is a partner at BLDS, LLC, and heads the Artificial Intelligence and Machine Learning Innovation Practice. In these roles, Nicholas specializes in the application of statistics and economics to questions of law, regulatory compliance, and best practices in model governance.

As head of the AI/ML practice, Nicholas works with clients to develop and implement techniques that open “black-box” AI models, providing a clearer understanding of AI’s decision-making process. His clients use this work to inform their customers on the extension or denial of credit (“adverse action notices”). In his fair lending work, Nicholas has developed AI techniques that allow clients to minimize disparate impact in marketing and credit decisioning models. These methods are used in a number of the top-10 U.S. retail banks and FinTechs.

In his litigation practice, Nicholas testifies and consults on matters relating to employment discrimination litigation, wage and hour law, and other matters requiring the utilization of statistics to address questions of liability or damages.

Nicholas holds an MBA in economics and econometrics from the University of Chicago.

Tulsee Doshi is the Product Lead for Google’s ML Fairness and Responsible AI efforts, where she leads the development of Google-wide improvements, resources and best practices for developing more inclusive, diverse, and ethical products. Previously, Tulsee worked on the YouTube recommendations team.

She has a BS in Symbolic Systems and a MS in Computer Science from Stanford University.

Sri Krishnamurthy, CFA is the Founder and CEO of QuantUniversity. Sri is the creator of QuSandbox, a platform for experimenting analytical and machine learning solutions for enterprises prior to adoption.

Sri earned an MS in Computer Systems Engineering and another MS in Computer Science, both from Northeastern University and an MBA from Babson College.