Tel: (970) 426-2506
Email: jackswsc@q.com

Experience

John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent work with the U.S. Bureau of Ocean and Energy Management and U.S. Geological Survey includes developing resource assessment models for conventional and unconventional energy resources. He has provided advice on statistical issues to numerous organizations including the U.S. Energy Information Administration, American Association for Petroleum Geology Committee on Resource Evaluation, Princeton University, and the Government of Norway. Models developed by Dr. Schuenemeyer have incorporated Monte Carlo simulation, linear and non-linear modeling, Bayesian and spatial statistics, and estimation by analogs and expert judgment. His expertise also includes the R-language and statistical and presentation graphics. He has given numerous invited talks and workshops in North America, Europe and Asia.

Over the course of his career he has worked closely with economists, engineers, climate scientists and geologists. Was a professor of statistics at the University of Delaware for 23 years. He also served as a mathematical statistician for the U.S. Geological Survey.

Dr. Schuenemeyer has received many awards and honors including being elected a Fellow of the American Statistical Association (1991) and an elected member of the International Statistical Institute (2015). He received the John Cedric Griffiths Award in 2004 for excellence in teaching mathematical geology from the International Association for Mathematical Geosciences. He was named Mathematical Geosciences Distinguished Lecturer in 2013 by this same organization. He is the author of over 130 publications.
Consulting clients include:

  • NBC News
  • US Department of Energy
  • US Minerals Management Service
  • US Geological Survey
  • Potential Gas Committee
  • Office of Technology Assessment of the US Congress
  • BP Oil
  • Christiana Care Health System, Delaware
  • Compuval Investments
  • PGA Tour
  • State of Delaware, Division of Fish and Wildlife
  • YMCA of Delaware

Rendering of scientific judgment:

  • Expert consultant on:
    • Gas hydrate assessment methodology, U.S. Minerals Management Service (2005-present)
    • Analog protocols, U.S. Minerals Management Service (2004-2005)
    • Modeling of stream sediment drainage systems, U.S. Geological Survey (2004-2005)
    • Oil and gas resource assessment in northern Alaska, U.S. Geological Survey (2001-2005)
    • National Energy Modeling System, Energy Information Administration (1991-95)
    • Resource assessment models, US Office of Technology Assessment (1977)
    • Evaluation of oil and gas resource assessment models, Princeton University (1975)
  • Associate Editor, Mathematical Geology (1997-present)
  • Editorial correspondent for Computers & Geosciences (1992-95).
  • Scientific expert reviewer for journals, including Mathematical Geology, Natural Resources Research, Technometrics, Journal of the American Statistical Association, Journal of Statistical Computation and Simulation, and the Bulletin of the American Association of Petroleum Geologists.

 

Welcome

Meet Jack John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent…

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Experience

John H. (Jack) Schuenemeyer, Ph.D is a consulting statistician, teacher, and researcher. Statistical analysis and modeling areas of application include earth and environmental sciences and energy. His recent work with…

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Energy Water Climate

Energy Developing resource methodology for the Bureau of Ocean Energy Management gas hydrate assessment of Federal offshore areas Developed methodology (Monte Carlo simulation and elicitation of expert judgment) for the…

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Courses in R

Courses in R for earth scientists by John H (Jack) Schuenemeyer Southwest Statistical Consulting, LLC R is an open source language increasingly used in the earth, environmental, and biological sciences. …

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Affiliated Consultants

Gordon Kaufman Gordon Kaufman is the Morris Adelman Professor Emeritus of Management at the Sloan School of Management, Massachusetts Institute of Technology.  He has 40 years of experience in the…

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