Untitled Document

Dr. Siegel is a Principal Research Scientist at the MIT Sloan School of Management. He co-directs the Aggregation Research Project at the Sloan School of Management and is a co-inventor on several related patents including "Querying Heterogeneous Data Sources over a Network Using Context Interchange" and "Data Extraction from World Wide Web Pages."

Dr. Siegel's research interests include the use of information technology in financial risk management and global financial systems, eBusiness and financial services, financial account aggregation, heterogeneous database systems, managing data semantics, query optimization, intelligent database systems, and learning in database systems. His work in benchmarking Value-at-Risk software systems has been presented to the Federal Reserve Bank, academic, and international audiences. Dr. Siegel obtained an Engineering Degrees from Trinity College and the University of Wisconsin-Madison and a Ph.D. in Computer Science from Boston University.

*Home*
	Michael D. Siegel E53-323 Massachusetts Institute of Technology Sloan School of Management 50 Memorial Drive Cambridge, MA 02139 (617) 253-2937 cell: (617) 620-6294 msiegel@sloan.mit.edu
Education Academic and Research Positions Journal and Conference Publications Refereed Workshop Publications Miscellaneous Publications and Invited Lectures	Dr. Siegel is a Principal Research Scientist at the MIT Sloan School of Management. He co-directs the Aggregation Research Project at the Sloan School of Management and is a co-inventor on several related patents including "Querying Heterogeneous Data Sources over a Network Using Context Interchange" and "Data Extraction from World Wide Web Pages." Dr. Siegel's research interests include the use of information technology in financial risk management and global financial systems, eBusiness and financial services, financial account aggregation, heterogeneous database systems, managing data semantics, query optimization, intelligent database systems, and learning in database systems. His work in benchmarking Value-at-Risk software systems has been presented to the Federal Reserve Bank, academic, and international audiences. Dr. Siegel obtained an Engineering Degrees from Trinity College and the University of Wisconsin-Madison and a Ph.D. in Computer Science from Boston University.