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Michael Siegel

Principal Research Scientist, Massachusetts Institute of Technology

Michael Siegel is a Principal Research Scientist at the MIT Sloan School of Management. During his more than 25 years at MIT, Siegel’s research interests have included the use of dynamic modeling and data mining for management and process improvement in critical systems, applications of computation social science to analyzing state stability and cyber security, digital business and financial services, heterogeneous database systems, managing data semantics, query optimization, intelligent database systems, and learning in database systems. He has been active in research to improve cyber systems through, critical infrastructure analysis, simulating approaches to patching vulnerabilities, bug bounty programs and modeling of improvements to software development and maintenance.

Michael’s sessions at USA 2015

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