Michael J. Friedel, Ph.D.
Senior Scientist, Visiting and Adjunct Professor
email: mfriedel@usgs.gov; telephone: 303.236.7790
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Oveview: I have 24 years of U.S. and international experience leading and participating on teams that characterize, monitor, and model the ecological, geophysical, and water-resource response to natural and anthropogenic stresses. Because of limited information and nonuniqueness in these systems, I personally develop and apply methods to better conceptualize, parameterize, and calibrate models. I also investigate and quantify the associated model and prediction uncertainty in analytical and numerical models. In addition to collaborative problem solving, I enjoy writing technical articles, teaching university courses, providing workshops, and mentoring students.    Curriculum Vitae

Work experience: U.S. Geological Survey, U.S. Bureau of Mines, various universities, and international organizations.

Research experience: development and application of numerical models; improved estimation (or calibration), regularization, and validation approaches; and techniques to quantify model and predictive uncertainty.

Teaching experience: Colorado college, Hohai University, Universidade de Estadual Campinas, Universidade de Brasilia, Universidad de Centroamericana, University of Colorado, University of Kuopio; and various workshops 

International experience: Argentina, Brazil, Bulgaria, China, El Salvador, Finland, Georgia, Guatemala, Haiti, Hungary, Israel, Jordan, Kyrgyzstan, Mauritania, Palestine, Romania, Turkey, European Union, Middle East Peace Process, NATO security

NEWS: Post-Doc announcement!

Recognized expertise

  • Data mining – self organizing maps, genetic programming
  • Flow and transport methods and modeling - water, heat, solute, reactive; surface water, ground water, unsaturated zone
  • Flood methods and modeling - water, sediment, debris; confined, unconfined, ungaged
  • Geophysical methods and modeling
  • Hazard and risk evaluation
  • Inverse methods - fitting, calibration, stochastic, uncertainty
  • Model development - analytical, numerical, stochastic
  • Resource assessments – ecological, mineral, water
  • Teaching - seminars, workshops, courses
  • Team management - interdisciplinary, international
  • Uncertainty analysis - model and prediction
  • Integrated studies – geology, geophysics, geotechnical, geostatistics, hydrologic, hydrogeologic, unsaturated zone

 

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