David I Donato

Biography

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.

Professional Experience

Job Title                                        Agency                                     Years

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

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

Also studied at:

  • Massachusetts Institute of Technology
  • Tulane University College (New Orleans)
  • University of New Orleans

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 computer science
  • Evaluating and improving the speed and accuracy of scientific computations
  • Statistically and mathematically modeling toxics and contaminants in fish, insects, wildlife, and humans
  • Developing quantitative and computational methods to understand how public policies, technological change, climate change, and social change affect current and future agriculture, wildlife, water quality and availability, and other features of the natural and built environments