Daniel  McGibney

Daniel McGibney

Co-Director, Master's of Science in Business Analytics Program and Assistant Professor of Professional Practice, Management Science

Biography

Upon completion of his PhD in systems science and mathematics from Washington University in St. Louis, Daniel joined the mathematics department at the College of William and Mary as a visiting assistant professor for over two years, where he taught and studied analytics and machine learning courses. Outside of academia, Daniel worked as an operations research analyst at Scott Air Force Base (AFB) in Illinois for three years. There he worked as a Northrop Grumman contractor to the government and worked on several simulation and estimation projects where he served as both technical and team leader. In addition to his doctorate, Daniel has multiple Master’s degrees in engineering and mathematics from Washington University in St. Louis and Southern Illinois University Edwardsville.

Research Interests

Machine learning; statistical computing; optimization; deep learning; and image processing

Teaching and Professional Experience

  • Assistant Professor of Professional Practice, Management Science, University of Miami School of Business Administration, 2016 - Present
  • Visiting Assistant Professor, College of William and Mary, 2014 - 2016
  • Research Assistant, Washington University, 2012 - 2013
  • National Science Foundation Graduate K-12 Fellow, Washington University, 2010 - 2011
  • Operations Research Analyst, Northrop Grumman IT, Scott Air Force Base, 2007 - 2010
  • Adjunct Professor, SouthWestern Illinois College, 2007 - 2013

Specialties

  • Machine learning
  • Simulation
  • Optimization
  • Image Processing

Degrees

  • Ph.D., Systems Science and Mathematics, Washington University
  • M.S., Systems Science and Mathematics, Washington University
  • M.S., Electrical Engineering, Washington University
  • M.S., Mathematics, Southern Illinois University
Daniel  McGibney

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