Bio


My research touches on the intersection between water, landscape dynamics, and subsurface geophysical measurements. By combining these elements, I believe that we can get a better understanding of the relationship between past geologic processes and present subsurface flow pathways. The unification of past and present will help us prepare our water resources for a changing future.

I have a B.S. in Applied Geophysics from Michigan Technological University, where I gained a research background in near-surface geophysics, geostatistics, and uncertainty quantification. Currently, I am a Ph.D. candidate and member of the Stanford Center for Earth Resources Forecasting research group. For my thesis I am developing and applying uncertainty quantification methods to test geological hypotheses with geophysical data.

Education & Certifications


  • B.S., Michigan Technological University, Applied Geophysics (2017)

Stanford Advisors


Work Experience


  • Graduate Research Assistant (Intern), Lawrence Berkeley National Laboratory (June 2020 - August 2020)

    Location

    Berkeley, CA

All Publications


  • Probabilistic Evaluation of Geoscientific Hypotheses with Geophysical Data: Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone Journal of Geophysical Research: Solid Earth Miltenberger, A., Uhlemann, S., Mukerji, T., Dafflon, B., Williams, K., Wang, L., Wainwright, H. 2021; 126

    View details for DOI 10.1029/2021JB021767

  • Rising Seas, Rising Inequity? Communities at Risk in the San Francisco Bay Area and Implications for Adaptation Policy Earth's Future Bick, I., Santiago Tate, A. F., Serafin, K. A., Miltenberger, A., Ayansi, I., Evans, M., Ortolano, L., Ouyang, D., Suckale, J. 2021; 9 (7)

    View details for DOI 10.1029/2020EF001963

  • A Graph-Theoretic Monte Carlo Framework for Comparing Delta Surface Dynamics and Subsurface Structure in Numerical Models and Physical Experiments Mathematical Geosciences Miltenberger, A., Mukerji, T., Hariharan, J., Passalacqua, P., Nesvold, E. 2021; 53 (6)
  • Stochastic fracture simulation using pixel-based multiple-point geostatistics by integrating seismic radial anisotropy and well data: applications in two hydrology sites ENVIRONMENTAL EARTH SCIENCES Chatterjee, S., Askari, R., Jeng, J., Abuzaied, M., Miltenberger, A. 2020; 79 (23)