Norman R. Swanson was educated at the University of Waterloo and the University of California, San Diego.
He is Professor in the Economics Department at Rutgers University. He has held previous positions at Pennsylvania
State University, Texas A&M University, and Purdue University, and IBM Canada. His primary research
interests include financial econometrics, forecasting, machine learning and big data, and time series analysis.
He is a fellow of the Journal of Econometrics (the top field journal in econometrics) and the International
Association of Applied Econometrics, and he currently serves or has served as editor for various scholarly
journals including the Journal of Econometrics, Journal of Business and Economic Statistics, and the International
Journal of Forecasting. He is a member of various professional
organizations, including the Econometric Society, the American Statistical Association, the American
Economic Association, and the Canadian Economic Association. He is on the steering committees of the M6
forecasting competition as well as various conferences and symposia. He has published over 100 peer reviewed
articles in leading economics and statistics journals including Econometrica, Journal of Econometrics,
Review of Economics and Statistics, Journal of Business and Economic Statistics, and the Journal of the
American Statistical Association, among others. He is or has been a visiting scholar and consultant to
various central banks, universities, and inter-governmental organizations including the University of
Maryland, the University of Pennsylvania, Surrey University, Humbolt University, the Federal Reserve Bank of
Philadelphia, the Bank of Canada, and the International Monetary Fund, among others.
He has acted as a consultant and expert witness for the last 25 years, consulting for firms ranging
from the Union Bank of Switzerland and the Bank of Zurich, to DFA Capital Management, Inc. and
Conning, Inc., and has acted as expert witness and carried out expert analysis in numerous property
casualty cases, including multiple cases involving financial services companies in which forecasting
and but-for analysis was undertaken.