David K A Mordecai Appointed as Adjunct Professor of Law at NYU Law School
Numerati Partners® Chief Scientist and Co-Managing Member, Dr. David K A Mordecai has been appointed Adjunct Professor of Law at NYU Law School, to begin co-teaching the Fall semester 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 those contributions by Dr. Mordecai to this course as co-instructor include his extensive testifying experience as well as four decades of industry 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 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-Managing Member of Numerati® Partners LLC, which coordinates a data analytics and technology development ecosystem, with the mission of advancing and fostering the next generation of scalable data-intensive risk and liability management enterprises. The firm provides resources fundamental to advancing the development of nascent leading-edge inferential surveillance, monitoring, and predictive analytics technologies for deployment within the RiskTech domain: risk technologies associated with adaptive distributed, networked and embedded systems such as remote sensing, agent-oriented data analytics, computing and control systems. Numerati® Partners curates integrated RiskTech solutions as well as forensic and use-case applications in RiskTech sub-domains such as LitTech, RegTech, FinTech and InsurTech (litigation technology, regulation technology, financial technology and insurance technology).
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.
