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Nicholas Schmidt

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.


MBA, (Econometrics, Economics and Finance), University of Chicago, Booth School of Business, 2011

BS, (Economics), George Mason University, High Honors, 2001

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