Numerati® Partners’ Samantha Kappagoda Presented at the Barclays Second Annual Digital Leader Series

Samantha Kappagoda of Numerati® Partners LLC and NYU RiskEcon® Lab @ Courant presented and facilitated discussion at the Barclays Second Annual Digital Leader Series on November 14, 2019 in New York City. Ms. Kappagoda discussed the Role of Data in AI along with Sharon Cohen Levin, Partner, Litigations Group & Member Criminal Defense and Investigations Group at Sullivan & Cromwell. Courtney Kidd Chubb, Head of Operations and Sector Strategist at Deloitte presented on AI and Talent and Emma Roberts, Senior Global Program Lead at Leanin.Org co-presented AI in the Workplace with Amy Auton-Smith, CEO of FairFrame. Closing remarks were given by Jami Miscik, CEO and Vice Chairman of Kissinger Associates.

Barclays Annual Digital Leader Series is hosted by and for executive women who are focused on financials and technology, including credit cards, payments and FinTech. This series offers an opportunity for women in complimentary industries to network and have direct and meaningful discussion about topics of mutual interest.


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). For more information, visit:


The mission of RiskEcon® Lab @ Courant Institute of Mathematical Sciences 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, our goal is robust 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 enables, facilitates and coordinates academic research focusing on these patterns and trends, through the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, the lab’s activities involve the advancement of applied mathematical statistics and computational economics, through interdisciplinary post-doctoral, postgraduate, graduate research and education in data science and social computing.

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. For more information, visit:

November 14, 2019

New York, NY