Dr. Elaine Spiller

Dr. Elaine SpillerMarquette University

Cudahy Hall, 361

MilwaukeeWI53201United States of America(414) 288-3299elaine.spiller@marquette.edu

Associate Professor

Department of Mathematical and Statistical Sciences

Courses Taught

• Calculus
• Numerical analysis
• Statistical methods
• Modeling
• Simulations

Research Interests

• Mathematical geoscience
• Probabilistic hazard mapping
• Uncertainty quantification
• Stochastic processes and simulations
• Data assimilation

Publications

• E.T. Spiller, R.W. Wolpert, P. Tierz, and T.G. Asher. The zero problem: Gaussian process emulators for range constrained computer models. SIAM/ASA J. Uncert. Quant, 11(2) 540–566. doi: 10.1137/21M1467420, 2023.
• J. Maclean, and E.T. Spiller. A surrogate-based approach to nonlinear, non-Gaussian joint state-parameter data assimilation. Foundations of Data Science, 3(3) 589–614. doi: 10.3934/fods.2021019, 2021.
• P.K. Aikaterini, A.A. Taflanidis, M. Plumlee, T.G. Asher, E.T. Spiller, R.A. Luettich, B. Blanton, T.L. Kijewski-Correa, A. Kennedy, L. Shmied. Improvements in storm surge surrogate modeling for synthetic storm parameterization, node condition classification and implementation to small size databases. Nat Hazards (109), 1349–1386, doi: 10.1007/s11069-021-04881-9, 2021.
• E.T. Spiller, R.L. Wolpert, S.E. Ogburn, E.S. Calder, J.O. Berger, A.K. Patra, and E.B. Pitman. Volcanic hazard assessment during an eruption hiatus, or post-eruption unrest context: Modeling continued dome collapse hazards for Soufrie`re Hills Volcano. Frontiers in Earth Science Geohazards and Georisks, (8) 396, 2020.
• Q. Yang, E.B. Pitman , E.T. Spiller, M.I. Bursik, and A. Bevilacqua. Novel statistical emulator construction for volcanic ash transport model Ash3d with physically-motivated measures, Proceedings of the Royal Academy A, (476), 2020.
• R. Rutarindwa, E.T. Spiller, A. Bevilacqua, M.I. Bursik, and A.K. Patra. Dynamic probabilistic hazard mapping in the Long Valley Volcanic Region CA: integrating vent opening maps and statistical surrogates of physical models of pyroclastic density currents, Journal of Geophysical Research: solid earth, (124), 2019.
• R.L. Wolpert, E.T. Spiller, E.S. Calder. Dynamic Statistical Models for Pyroclastic Density Current Generation at Soufriere Hills Volcano. Frontiers in Earth Science (6), 2018.
• S.E. Ogburn, J.O. Berger, E.S. Calder, D. Lopes, A. Patra, E.B. Pitman, R. Rutarindwa,
  E.T. Spiller, and R.L. Wolpert. Pooling strength amongst limited datasets using hierarchical Bayesian analysis, with application to pyroclastic density current mobility metrics. Statistics in Volcanology (2), 1–26, 2016.
• Slivinski, Laura, Elaine Spiller, Amit Apte, and Björn Sandstede. A Hybrid Particle–Ensemble Kalman Filter for Lagrangian Data Assimilation. Monthly Weather Review, 143.1 (2015): 195–211.
• Bayarri, M. J., Berger, J., Calder, E., Patra, A., Pitman, E. B., Spiller, E., & Wolpert, R. Probabilistic Quantification of Hazards: A Methodology Using Small Ensembles of Physics Based Simulations and Statistical Surrogates. International Journal for Uncertainty Quantification 5.4 (2015): 297-325.
• E.T. Spiller, M. J. Bayarri, J. O. Berger, E. S. Calder, A. K. Patra, E. B. Pitman, and R. L. Wolpert. Automating Emulator Construction for Geophysical Hazard Maps. SIAM/ASA J. Uncert. Quant 2 (2014): 126–152.
• N. Santitissadeekorn, E.T. Spiller, C.K.R.T. Jones, R. Rutarindwa, L. Liu, and K. Ide. Observing System Simulation Experiments of Cross-Layer Lagrangian Data Assimilation, Dynamics of Atmospheres and Oceans 66 (2014): 77–93.

Grants

• NSF Computational and Data Enabled Science and Engineering, Collaborative Research: Surrogates and Reduced Order Modeling for High Dimensional Coupled System. $100,000. August 2021 - July 2024. PI, NSF-DMS 2053872.
• NERC, Ixchel: Building understanding of the physical, cultural and socio-economic drivers of risk for strengthening resilience in the Guatemalan cordillera. $28,800. April 2021 - March 2024. Co-PI, NERC, GCRF Multi-Hazards Risk, NE/T010517.
• FEMA (DHS), Coastal Probabilistic Hazard Assessment. $28,000. October 2019 - September 2020. Co-PI, DHS 5115356.
• NSF PREEVENTS Track 1, Coupling Uncertain Geophysical Hazards: Bringing together Geoscientists, Computational Mathematicians, and Statisticians to Advance Hazard Forecasting. $39,000. March 2019 PI, NSF-GEO 1850742
• NSF Computational and Data Enabled Science and Engineering, Collaborative Research: Using Precursor Information to Update Probabilistic Hazard Maps. $80,000. September 2018 - August 2020. PI, NSF-DMS 1821338
• NSF Computational and Data Enabled Science and Engineering, Collaborative Research: Advancing Statistical Surrogates for Linking Multiple Computer Models with Disparate Data for Quantifying Uncertain Hazards. $100,000. August 2016 - July 2018. PI, NSF-DMS 16224679