معرفی
Matthew Schneider is an Associate Professor in the Department of Decision Sciences and Management Information Systems at Drexel University's LeBow College of Business. He holds a PhD in Statistics from Cornell University and has previously served as an Assistant Professor at Northwestern University and a Visiting Scholar at Cornell. He teaches and conducts research at the intersection of data privacy, forecasting, and business analytics.
- PhD in Statistics, Cornell University
- MS in Statistics, Cornell University
- MS in Public Policy and Management, Carnegie Mellon University
- BS in Quantitative Economics, United States Naval Academy
Dr. Schneider's research centers on data privacy and time series forecasting, with a focus on developing statistical methodologies that protect consumer privacy while preserving data utility for business decisions. His work enables organizations to balance regulatory compliance with data-driven profitability. He has applied his expertise in data anonymization and analytics frameworks for Fortune 500 companies in FinTech, pharma, insurance, and retail. His research has been published in leading journals including Harvard Business Review, Marketing Science, and Journal of the Royal Statistical Society.
His recent publications demonstrate a consistent trend in privacy-preserving data analysis, particularly through synthetic data, differential privacy, and k-anonymity. He also explores forecasting using consumer reviews and robust methods for detecting demand shifts. These works span disciplines such as statistics, marketing science, information systems, and operations research.
Dr. Schneider is actively engaged in executive education, teaching Data Privacy Strategy through eCornell. He has collaborated with prominent scholars such as Sachin Gupta and John Abowd. His industry experience includes roles at the RAND Corporation and Fort Rock Asset Management LLC.
- Scientific lead for pre-IPO validation of data science models in FinTech
- Director of Research at Fort Rock Asset Management LLC
- Used by major corporations to improve analytics and anonymization frameworks
- Teaches corporate executives through eCornell’s certificate program
He has no listed scientific awards in the provided text. There is no mention of students he has advised. His work is supported by practical applications in industry rather than explicit grant funding in the source material.
