Tuesday, March 03, 2026
12:00 PM -
1:00 PM
Annenberg 213
CMX Lunch Seminar
Series: CMX Lunch Series
TBD
David Mordecai,
Adjunct Professor of Econometrics and Statistics,
University of Chicago Booth School of Business,
Speaker's Bio:
President of New York based advisory firm Risk Economics, Inc. and Co-Managing Member of Numerati® Partners LLC, a data analytics, technology development and commercialization firm. Research Interests: Statistical learning, decision and process control applications at the intersection of industrial economics and engineering: density estimation, regression, classification and clustering; outlier analysis, anomaly detection, system identification; kernels, filters, mixture methods; sieve estimation; signal processing and compressive sensing; factor and principal components analysis; data smoothing, sifting, sorting methodologies. Empirical Industrial Organization: statistical risk analysis and econometrics of natural resource and energy market economics; environmental and geo-political risks; political economy, law and economics of markets, market externalities, geopolitical and systemic risks; forensic economic and statistical analysis; economic analysis of data and algorithmic bias; operational risk and reliability engineering; statistical and forensic analysis of scientific evidence; validation testing and verifiability analysis of artificial intelligence (AI) and machine learning (ML) algorithms.
President of New York based advisory firm Risk Economics, Inc. and Co-Managing Member of Numerati® Partners LLC, a data analytics, technology development and commercialization firm. Research Interests: Statistical learning, decision and process control applications at the intersection of industrial economics and engineering: density estimation, regression, classification and clustering; outlier analysis, anomaly detection, system identification; kernels, filters, mixture methods; sieve estimation; signal processing and compressive sensing; factor and principal components analysis; data smoothing, sifting, sorting methodologies. Empirical Industrial Organization: statistical risk analysis and econometrics of natural resource and energy market economics; environmental and geo-political risks; political economy, law and economics of markets, market externalities, geopolitical and systemic risks; forensic economic and statistical analysis; economic analysis of data and algorithmic bias; operational risk and reliability engineering; statistical and forensic analysis of scientific evidence; validation testing and verifiability analysis of artificial intelligence (AI) and machine learning (ML) algorithms.
TBA
Event Sponsors:
For more information, please contact Jolene Brink by phone at (626)395-2813 or by email at [email protected] or visit CMX Website.
