Risk Economics, Inc. President and Co-Founder, Dr. David K.A. Mordecai has been appointed Adjunct Professor of Law at NYU Law School, and to begin co-teaching the course Quantitative Methods in Litigation, with fellow Adjunct Professor, Katherine Forrest, a Paul Weiss partner chairing the Digital Technologies practice and a former Federal Judge.
With his corresponding focus on machine testimony and machine behavior, among the contributions by Dr. Mordecai to this course as co-instructor include his extensive testifying experience, as well as four decades of industry custom and practice experience, and direct experience with technical review, evaluation, and testing of AI and machine learning applications across diverse institutional contexts, and industry and market settings.
David K.A. Mordecai is also a Visiting Scholar at Courant Institute, and advises research activities at RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU, established in 2011 in order to apply a range of computational and analytical methods to commercial, consumer and population-related societal trends. In this senior advisory capacity for the lab, he leads technical oversight for research activities exploring applications of agent-based computing and statistical inference, in conjunction with machine learning systems and methods, to a broad range of commercial and institutional contexts. In 2010, he was invited to become a Fellow, as well as a member of the Advisory Board of the Mathematical Finance Program at Courant, having served as a guest lecturer for the program since 2006.
David Mordecai has served as an adjunct instructor of applied mathematics at Courant, as well as an Adjunct Professor and an active member of the working group for the NYU Center for Data Science (NYUCDS) at its inception. In this capacity, he has mentored students across various NYU divisions, including Courant, NYUCDS, Stern, Tisch ITP (Interactive Technology Masters Program) and NYU Tandon School of Engineering. In 2014, he was appointed Course Director to lead the NYUCDS Capstone graduate applied research program in its inaugural year. Between 2012 and 2015, he held a joint appointment as Senior Research Scholar for Computational Economics of Commerce, Law and Geo-Politics at the NYU Stern Graduate School of Business. Dr. Mordecai also serves on the Advisory Committee of the Institute for Data Science at Durham University, England.
David Mordecai serves as Chair of the Nanotechnology Committee, Co-Chair of the Space Law Committee and Vice-Chair of the Artificial Intelligence and Robotics for the American Bar Association Science & Technology Law Section. He also serves as a technical advisor on the Uniform Law Commission Study Committee on Event Data Recorders in Cars, which is studying the need for and feasibility of uniform or model state legislation concerning automotive event data recorders and vehicle-generated data. In 2019, he was appointed technical advisor to study committees commissioned by the Uniform Law Committee (ULC) on Automotive Event Data Recorders, in 2020, on Mitigation of Public Health Emergency Business Disruptions, and in 2022 on Use of Tokens or Other Similar Products in Real Property Transactions.
Since 2013, Dr. Mordecai has also served as the first Scientist-in-Residence at FinTech Innovation Lab, an accelerator platform for early and growth stage technology firms, organized by The Partnership Fund for New York City in conjunction with Accenture and a consortium of venture capital firms and global financial institutions.
Dr. Mordecai is Co-Founder and President of Risk Economics Inc., a New York City based advisory firm. Risk Economics specializes in the application of computational economics and statistics to the proprietary development and scalable implementation of robust modeling and data analytic frameworks for valuation, strategic and systemic risk analysis, and dynamic asset-liability management. As Practice Lead for the Risk Economics® litigation, regulation and arbitration expert advisory practice, David K.A. Mordecai serves as an expert on (i) loss causation and economic damages related to liability from operational and model risk, machine testimony, algorithmic bias, as well as (ii) the analysis of computational and digital forensics, (iii) market structure, (iv) financial institutions governance, (v) complex issues related to finance, economics and market standards and practices within securities, derivatives, reinsurance, and commodities markets, as well as (vi) industrial engineering, economics and market structure across a diverse range of non-financial industry sectors.
He earned a Ph.D. with concentrations in Econometrics/Mathematical Statistics and Economics/ Industrial Organization from the University of Chicago, and an M.B.A. in Finance from NYU Stern School of Business. His dissertation research applied principal components analysis to risk-based leverage estimation with a focus upon empirical tests of the limits of arbitrage, and how market shocks trigger contagion via the financing of highly leveraged financial institutions during periods of extreme market volatility. In addition to studying financial economics and market microstructure, as well as the economics of law, regulation and industry structure, his doctoral education included the study of Bayesian decision theory, social network analysis and behavioral economics.
About Risk Economics, Inc.
Risk Economics® specializes in economic analysis of risk and liability. It provides advisory services at the intersection of commercial business-process engineering and risk engineering with a particular focus on coupling commercial reinsurance and financial technology, through the rigorous application of agent-based, demographic, and statistical methodologies to microeconomic and macroeconomic analysis. The RiskEcon® client roster is diverse and includes governmental and quasi-governmental agencies, global insurance and reinsurance firms, leading law firms, technology firms, global banking institutions, asset management firms, multinational corporations with interests in natural resources, commodities, and energy, as well as government agencies and regulators. For additional information, please visit https://riskeconomicsinc.com/.
