Haruko Wainwright
Haruko Wainwright
Associate Adjunct Professor
Research Scientist
Lead, Environmental Resillience Program
Earth and Environmental Sciences Area
Lawrence Berkeley National Laboratory
510-495-2038
Haruko is a research scientist at Lawrence Berkeley National Laboratory and an adjunct professor in Nuclear Engineering at University of California, Berkeley. She earned master in nuclear engineering and statistics, and PhD in nuclear engineering at University of California, Berkeley. Her research focuses on environmental risk assessment, stochastic hydrology, multiscale data integration, and uncertainty quantification. She has worked on various research topics in both nuclear engineering and environmental sciences, including nuclear waste, groundwater contamination, Fukushima radiation monitoring, and climate science. Currently, she is the program lead of the Environmental Resillience Program in Earth and Environmental Sciences Area
eesa.lbl.gov/profiles/haruko-m
Selected Publications:
1. 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.
2. Wainwright, H.M., B. Arora, B. Faybishenko, S. Molins, S. Hubbard, G. Flach, C. Eddy-Dilek, J.D. Moulton, and K. Lipnikov, C. Eddy-Dilek, M. Denham “Sustainable Remediation in Complex Geological Environment”, Encyclopedia of Inorganic and Bioinorganic Chemistry, doi: 10.1002/9781119951438.
3. Wainwright, H.M., A. Seki, S. Mikami and K. Saito, “Characterizing Regional-Scale Temporal Evolution of Air Dose Rates After the Fukushima Dai-ichi Nuclear Power Plant Accident”, Journal of Environmental Radioactivity, 89, 213-220, 2018
4. Wainwright, H.M., J. Chen, A. Seki and K. Saito, “A multiscale Bayesian data integration approach for mapping radionuclide contamination in the regional scale”, Journal of Environmental Radioactivity, 167, 62-69, 2017.
5. Wainwright, H.M., J. Chen, D. Sassen and S.S. Hubbard, “Bayesian Hierarchical Approach for Estimation of Reactive Facies over Plume-Scales Using Geophysical Datasets”, Water Resources Research, 50, 4564–4584, doi:10.1002/2013WR013842, 2014.
6. Pau, G. S. H., Zhang, Y., Finsterle, S., Wainwright, H., & Birkholzer, J.“Reduced order modeling in iTOUGH2”. Computers & Geosciences, 65, 118-126, 2014.
7. Wainwright, H.M., S. Finsterle, Y. Jung, Q. Zhou and J.T. Birkholzer, “Making Sense of global sensitivity analysis”, Computers & Geosciences, ISSN 0098-3004, http://dx.doi.org/10.1016/j.
8. Wainwright, H.M., S. Finsterle, Q. Zhou, J.T. Birkholzer, “Modeling the Performance of Large-Scale CO2 Storage Systems: A Comparison of Different Sensitivity Analysis Methods”, International Journal of Greenhouse Gas Control, 17, Pages 189-205, ISSN 1750-5836, http://dx.doi.org/10.1016/j.
9. Murakami, H., & Ahn, J., “Development of compartment models with Markov-chain processes for radionuclide transport in repository region”. Annals of Nuclear Energy, 38(2-3), 2011.
10. Murakami, H., X. Chen, M.S. Hahn, Y. Liu, M.L. Rockhold, V.R. Vermeul, J.M. Zachara, and Y. Rubin, “Bayesian approach for three-dimensional aquifer characterization at the Hanford 300 area”, Hydrol. Earth Syst. Sci. 7, 2017–2052, 2010.
Honors and Awards:
- 2018 Women Killin’ it in STEM (https://www.tun.com/blog/women-killin-it-stem-fields/)
- 2017 R&D 100 Award, National Risk Assessment Partnership Toolset, 2017.
- 2017 Waste Management Symposium, Superior Paper Award, 2017.
- 2016 LBNL Early Career Achievement Award, 2016.
- 2012 Director's Achievement Awards for Exceptional Tech Transfer Achievement (as a part of the TOUGH2 development team), 2012.