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)
Tapan Mukerji, Doctoral (Program)
Graduate Research Assistant (Intern), Lawrence Berkeley National Laboratory (June 2020 - August 2020)
Probabilistic Evaluation of Geoscientific Hypotheses with Geophysical Data: Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone
Journal of Geophysical Research: Solid Earth
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
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
2021; 53 (6)
View details for DOI 10.1007/s11004-021-09973-7
- 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 2020; 79 (23)