People

Education

• BEng, Kyoto University, Engineering Physics, 2003
• MS, University of California, Berkeley, Nuclear Engineering, 2006
• MA, University of California, Berkeley, Statistics, 2010
• PhD, University of California, Berkeley, Nuclear Engineering, 2010

Research Interests

Her research focuses on environmental informatics, aiming to improve understanding and predictions in Earth and environmental systems through mechanistic modeling and machine learning. She has been working on Bayesian geostatical methods and zonation-based data integration methods to integrate multi-type and multiscale datasets (e.g., point measurements, geophysical data, and drone/airborne/satellite remote sensing data) for estimating spatially heterogeneous subsurface and ecosystem properties. In addition, she has been developing real-time model-data integration approaches to improve environmental monitoring, including radiation, groundwater contamination and soil moisture. She works on broader topics, including watershed science, environmental monitoring and remediation, radiation monitoring and restoration after the Fukushima accident, and nuclear waste disposal. She leads and co-leads multiple interdisciplinary projects, including the US Department of Energy’s Advanced Long-term Environmental Monitoring Systems (ALTEMIS) project, and the Artificial Intelligence for Earth System Predictability (AI4ESP) initiative.

Selected Publications

1. Xu, Z., R. Serata, H.M. Wainwright, M. Denham, S. Molins, H. Gonzalez-Raymat, K. Lipnikov, D. Moulton, and C. Eddy-Dilek (2021), “Reactive Transport Modeling for Supporting Climate Resilience at Groundwater Contamination Sites”, Hydrology and Earth System Sciences, accepted.
2. Li, W., Wainwright, H. M., Yan, Q., Zhou, H., Dafflon, B., Wu, Y., … & Tartakovsky, D. M. (2021), “Estimation of evapotranspiration rates and root water uptake profiles from soil moisture sensor array data”, Water Resources Research, e2021WR030747.
3. Lu, H., Ermakova, D., Wainwright, H. M., Zheng, L., & Tartakovsky, D. M. (2021). “Data-informed Emulators for Multi-Physics Simulations”, Journal of Machine Learning for Modeling and Computing, 2(2).
4. Ermakova, D., Wainwright, H., Zheng, L., Shirley, I., & Lu, H. (2021). “Global Sensitivity Analysis for U (VI) Transport for Integrating Coupled Thermal–Hydrological–Chemical Processes Models Into Performance Assessment Model.” Journal of Nuclear Engineering and Radiation Science, 7(4), 041902.
5. Wainwright, H. M. et al. (2020), “Satellite-derived foresummer drought sensitivity of plant productivity in Rocky Mountain headwater catchments: spatial heterogeneity and geological-geomorphological control”, Environmental Research Letters, 15(8), 084018.
6. Denham, M. E., Amidon, M. B., Wainwright, H. M., Dafflon, B., Ajo-Franklin, J., & Eddy-Dilek, C. A. (2020). “Improving Long-term Monitoring of Contaminated Groundwater at Sites where Attenuation-based Remedies are Deployed”, Environmental Management, 1-20.
7. Sun, D., Wainwright, H. M., Oroza, C. A., Seki, A., Mikami, S., Takemiya, H., & Saito, K., (2020. “Optimizing long-term monitoring of radiation air-dose rates after the Fukushima Daiichi Nuclear Power Plant”, Journal of Environmental Radioactivity, 220, 106281
8. Wainwright, H. M., Seki, A., Mikami, S., & Saito, K. (2019). “Characterizing regional-scale temporal evolution of air dose rates after the Fukushima Daiichi Nuclear Power Plant accident”, Journal of environmental radioactivity, 210, 105808.
9. Wainwright, H., Arora, B., Hubbard, S., Lipnikov, K., Moulton, D., Flach, G., … & Denham, M., “Sustainable Remediation in Complex Geologic Systems”, The Heaviest Metals: Science and Technology of the Actinides and Beyond, 415, 2019.
10. Schmidt. F., Wainwright, H.M, Faybishenko, M. Denham, C. Eddy-Dilek, “In-Situ Monitoring of Groundwater Contamination for Sustainable Remediation Using the Kalman Filter”, Environmental Science and Technologies, 52 (13), pp 7418–7425, 2018.