Aaron Tenenbein

Aaron Tenenbein is a Professor of Statistics and Actuarial Science at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 1969. He serves as the Faculty Director of the Executive MBA Program and Director of the Actuarial Science Program. His academic home is in the Department of Statistics and Operations Research.

• Ph.D. in Statistics, Harvard University, 1969
• M.A. in Statistics, Harvard University, 1967
• B.S. in Mathematics & Actuarial Science, University of Manitoba, 1965

Professor Tenenbein's research spans statistics, actuarial science, risk management, and financial modeling. His work emphasizes sampling techniques, simulation methodology, mortality estimation, and statistical applications in insurance and finance. He has made significant contributions to the modeling of select and ultimate mortality, bivariate distributions, and multivariate categorical data analysis with misclassification.

His publications appear in leading journals such as the Journal of the American Statistical Association, Transactions of the Society of Actuaries, and Journal of Applied Probability. The recent articles reflect a strong trend toward integrating statistical theory with practical actuarial and financial problems, particularly in risk assessment, mortality forecasting, and data reliability.

Scientific awards and honors include:

• New York University Distinguished Teaching Medal
• Stern Excellence in Teaching Award
• Stern Executive MBA Award for Excellence in Teaching
• Stern Undergraduate Professor of the Year
• Fellow of the American Statistical Association
• Associate of the Society of Actuaries
• Member of the American Academy of Actuaries

Professor Tenenbein has served as a consultant to major financial and insurance institutions, including J.P. Morgan, IBM, KPMG, and Metropolitan Life. He has provided expert witness testimony in legal cases involving age discrimination, television ratings, and software sales forecasting. He has also authored a problem handbook and a case study on sales forecasting. While specific advisees are not listed, his leadership in graduate programs indicates extensive student mentorship. He has not been associated with a named lab or research team, but his work is deeply integrated into the academic and professional practice of actuarial science at NYU Stern.