David K.A. Mordecai served as Director of the first NYU Center for Data Science (NYUCDS) Capstone graduate applied research program in its inaugural year, subsequent to participating as an active member of the working group for NYUCDS at its inception. Michael O’Neil, Professor of Mathematics at Courant Institute and Tandon Engineering served as co-instructor for the Capstone.
Dr. Mordecai was previously interviewed earlier in the year about the upcoming course by NYU Local for an article entitled Artificial Intelligence, Sans ScarJo’s Sultry Voice, Coming To NYU. He was also interviewed for a documentary on NYUCDS, and featured in articles in the Columbus Dispatch, KD Nuggets and Daily News.
David Mordecai is Co-Managing Member and Co-Founder of Numerati® Partners and Visiting Scholar at Courant Institute of Mathematical Sciences NYU, advising research activities at RiskEcon® Lab for Decision Metrics @ Courant Institute. RiskEcon® Lab provided seed funding for senior staffing of NYUCDS prior to the award of the Moore-Sloan Grant.
About Numerati® Partners LLC
Numerati® Partners LLC 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).About RiskEcon® Lab @ Courant Institute
The mission of RiskEcon® Lab for Decision Metrics @ Courant Institute of Mathematical Sciences NYU is the development of experimental testbeds and analytics that employ high-dimensional datasets from innovative sources by applying a range of computational and analytical methods to commercial and industrial sensor networks and edge computing embedded systems, focusing primarily on research and development (R&D) of remote- and compressed- sensing, anomaly detection, forensic analytics and statistical process control. By employing applied computational statistics within the context of robust and scalable data analytic solutions, the goal is robust and reliable integration of machine learning with signal processing for measurement and control, in order to conduct research fundamental to large-scale, real-world questions in risk and liability management.
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. RiskEcon® Lab is the cornerstone of the Computational Economics and Algorithmic Data Analytics (CEcADA) cooperative at New York University, established concurrently in 2011.
September 1, 2014 | New York, NY