CV

PDF versions of my CV: One Page and Everything!

bibtex file of publications

Contact

• mail Colorado School of Mines Applied Mathematics and Statistics 1500 Illinois St. Golden, CO 80401

• personal cell 3037253199

• professional email primary: nychka@mines.edu
  (NCAR emeritas: nychka@ucar.edu)

• personal email douglasnychka@gmail.com

Education

• Duke University, Mathematics and Physics, summa cum laude B.A. 1978\
• University of Wisconsin - Madison, Statistics Ph. D. 1983

Appointments

• 8/18 - present: Professor, Department of Applied Mathematics and Statistics, Colorado School of Mines, Golden, CO
• 8/18 - present: Emeritus Senior Scientist, National Center for Atmospheric Research, Boulder, CO
• 7/97- 8/18: Director, Institute for Mathematics Applied to Geosciences (11/2005-present), Project Leader, Geophysical Statistics Project (8/97-6/2006), Senior Scientist (8/99-present)
  National Center for Atmospheric Research, Boulder, CO\
• 7/83-6/99: Assistant (7/83-6/89), Associate (7/89-6/94) and Full Professor (7/94-6/99), Department of Statistics North Carolina State University, Raleigh, NC
• 1/94-7/97 Senior Fellow, National Institute of Statistical Sciences, Research Triangle Park, NC

Awards and fellowships

• Fellow, American Statistical Association (2003)
• Jerry Sacks Award for Multidisciplinary Research (2004)
• Distinguished Achievement Award, American Statistical Association, Section on the Environment (2013)
• Achievement Award, International Meeting on Statistical Climatology (2013)
• Fellow, Institute of Mathematical Statistics (2015)

Research and Publications

Douglas Nychka’s research areas include statistical methods and mathematical theory for curve and surface fitting and a broad interest in data analysis for the geosciences. He is an author on more than 100 peer reviewed articles, H-index >49 (Web of Science) and has edited two books. Some representative publications

• Gerber, F. and Nychka, D. (2021) Fast covariance parameter estimation of spatial Gaussian process models using neural networks, Stat, 10, e382. PDF Wiley
• Nychka, D., Bandyopadhyay, S., Hammerling, D., Lindgren, F., and Sain, S. (2015). A multi-resolution Gaussian process model for the analysis of large spatial datasets. Journal of Computational and Graphical Statistics, 24(2):579–599.
• Oh, H.-S., Lee, T.~C., and Nychka, D.~W. (2011). Fast nonparametric quantile regression with arbitrary smoothing methods. Journal of Computational and Graphical Statistics, 20(2):510–526.
• Cooley, D., Nychka, D., and Naveau, P. (2007). Bayesian spatial modeling of extreme precipitation return levels. Journal of the American Statistical Association, 102(479):824–840.
• Wikle, C.~K., Milliff, R.~F., Nychka, D., and Berliner, L.~M. (2001). Spatiotemporal hierarchical {B}ayesian modeling of tropical ocean surface winds. Journal of the American Statistical Association, 96(454):382–397.

Synergistic Activities

• R contributed packages: See cran.r-project.org

  • fields: Tools for spatial data, Nychka, D., R Furrer, S. Sain, and John Page (2017)
    ( > 250K downloads since 7/2016)

  • LatticeKrig: Multi-resolution Kriging, Nychka, D., Hammerling, D. and Sain, S. (2017) (> 3.5K downloads since 7/2016)

• Selected Community Service
  • Surface Temperature Reconstructions for the Last 2,000 Years US, Nat. Academy of Sciences (2006)
  • Verification & Validation and Uncertainty Quantification, Nat. Res. Council (2010–2012).
  • Board of Governors, Institute for Mathematical Applications (IMA), University of Minnesota (2011– 2015)
  • Scientific Advisory Board, Pacific Institute of Mathematics (PIMS) (2015 – 2021)