John Shin Presents at AI + Science Summer School Conference at University of Chicago
John Y. Shin, Senior Research Associate at Numerati Partners was invited to make a technical presentation of a co-authored poster entitled Forensic Risk and Reliability Implications of Machine Vision Anomalies “In the Wild” at the 2022 AI + Science Summer School Conference at the University of Chicago. The poster was based on research conducted jointly with David K.A. Mordecai and Samantha Kappagoda. The conference was jointly hosted by the Data Science Institute and the Institute for Mathematical and Statistical Innovation (IMSI) at the University of Chicago.
The conference focused on four core themes at the heart of this emerging paradigm of scientific discovery:
- Artificial Intelligence (AI) uncovering new laws of nature,
- AI guiding scientific measurement,
- Physics-informed machine learning, and
- Scientific discovery advancing AI frontiers.
John Shin is a Senior Research Associate at Numerati® Partners (and Enumeration/Evaluation lead), focusing on classification and error rate quantification in real-time machine learning systems, which leverage physics principles. He joined Numerati Partners in June 2020, and subsequently completed an M.Sc. in Computer Science at New York University.
David K.A. Mordecai and Samantha Kappagoda are Co-Managing Members of Numerati Partners LLC, and Visiting Scholars at Courant Institute of Mathematical Sciences NYU, co-advising research at RiskEcon® Lab @ Courant Institute. Dr. Mordecai is also Adjunct Professor of Econometrics and Statistics at the University of Chicago Booth School of Business.
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 InstituteThe 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 for distributed, embedded and autonomous 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 in the public interest.
