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David I Donato

By profession and avocation, David I. Donato is an applied mathematician and computational scientist. David has contributed as a quantitative professional to a number of the programs of the Department of the Interior, including offshore minerals leasing, quantitative policy analysis, information dissemination, and geographic and regional studies.

In addition to his work in applied mathematics, statistics, and scientific computation, he has developed and administered Web sites and has designed and built interactive Web applications. He has also applied his knowledge of quantitative micro-economics to various studies and analyses, including work with mercury in fish and land-change modeling. Because of his particular interest in probability and mathematical statistics, he specializes in stochastic computer simulation. David is an expert scientific programmer and a prolific technical writer. In recent years he has worked on statistical modeling of mercury in fish tissue and spatially-explicit land-change modeling.

Research Interests

  • Modeling spatially-explicit environmental and land-use futures
  • Designing scientific computer models for generality and radically deep interoperation
  • Developing (designing and coding) stochastic computer simulations and models
  • Solving difficult quantitative and computational problems using mathematics, statistics, GIScience, economics, and comput

Professional Experience

  • Research Computer Scientist         U.S. Geological Survey               2009-Present

  • Computer Scientist                        U.S. Geological Survey               1997-2009  

  • Operations Research Analyst          U.S. Geological Survey               1985-1997

  • Statistician                                     Minerals Management Service   1982-1985

  • Statistician                                     Bureau of Land Management     1976-1982

Education and Certifications

  • B.S. in Mathematics from Colorado State University - Pueblo (1975)

  • Massachusetts Institute of Technology

  • Tulane University College (New Orleans)

  • University of New Orleans

Affiliations and Memberships*

  • American Statistical Association (ASA)

  • Association for Computing Machinery (ACM)

  • IEEE and IEEE Computer Society

  • Mathematical Association of America

Science and Products

*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government