David K.A. Mordecai, Co-Managing Member of Numerati Partners, participated in Demo Day 2023 for FinTech Innovation Lab (FTIL) on June 22, 2023, as Scientist-in-Residence for FTIL. FTIL is 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.
As Scientist-in-Residence for FTIL, Dr. Mordecai is one of seven Executives-in-Residence who are part of the FTIL Mentors Network, which is comprised of over 30 seasoned entrepreneurs who have successfully launched and scaled a financial technology company to acquisition or IPO. Members of the Network serve as mentors and informal advisors for companies accepted into FTIL, providing guidance on the broad range of issues faced by senior management of financial technology (FinTech) companies.
David Mordecai is Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, advises research activities at RiskEcon® Lab @ Courant Institute of Mathematical Sciences NYU and is Co-Managing Member of Numerati® Partners LLC.
Applicants to FTIL are required to have at least a working beta version of their technology that is ready for testing in either the institutional or retail market. The Chief Technology Officers from the 40 supporting financial institutions and venture capital firms selected the ten Fintech companies participating in the 2023 cycle, which included 55/Redefined, Jaid, Breakthru, Billy and Lab1.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 in the public interest. 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.