News and Events

David K. A. Mordecai speaks at the Joint Quantum Symposium

David K.A. Mordecai, President of Risk Economics and Adjunct Professor at New York University, was invited to speak at the Joint Quantum Symposium held at New York University (NYU) on April 5th and 6th, 2018.

Dr. Mordecai participated on a panel entitled Future of Quantum Information, where he highlighted and discussed prospective domain-specific RiskTech use-case applications for quantum devices and related nanotechnologies within AI, autonomous systems control, industrial IoT and remote sensing.

The panel was introduced by Paul Horn, Senior Vice Provost for Research for at New York University and Senior Vice Dean for Strategic Initiatives and Entrepreneurship at the Tandon School of Engineering.

The other speakers on the panel were the following:

  • Charles Tahan, Technical Director, Laboratory for Physical Sciences/UMD
  • Valerie Feldmann, CEO, Palestrina Group
  • Jay Gambetta, Manager, IBM
  • Chris Monroe, University of Maryland/IonQ

Risk Economics is a New York based advisory firm founded in 1999, providing 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 analytics.

RiskEcon® Lab for Decision Metrics  was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics.

The focus of RiskEcon® Lab @ Courant Institute of Mathematical Sciences is to facilitate the development of software, analytics tools, and semantic libraries that employ high-dimensional datasets to integrate conventional data with web-enabled demographic, biometric, psychometric and sociometric data from innovative sources, by applying a range of computational and analytical methods to commercial, consumer and population-related societal trends, focusing primarily on research and development (R&D).

April 6th 2018, New York NY

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