Short Biography


Norman R. Swanson was educated at the University of Waterloo and the University of California, San Diego. He is Distinguished Professor in the Economics Department at Rutgers University. He has held previous positions at Pennsylvania State University, Texas A&M University, 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 and the International Association of Applied Econometrics. 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 has published over 100 peer reviewed articles in leading economics and statistics journals including but not limited to 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 has given numerous keynote and invited speeches around the world; and 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 acting as expert witness in numerous legal cases involving damages calculations associated with property, casualty, and financial services businesses.