Positions & Experience
Mendenhall Postdoctoral Fellow at the Geologic Hazards Science Center, USGS (Golden, CO) 2021-present
Research Assistant at Earth Observatory of Singapore (Nanyang Technological University, Singapore)
2014-2016
Education
Ph.D. Earth and Atmospheric Sciences (EAS), Geophysics Concentration from Cornell University (Ithaca, NY)
2016-2021
B.A. with highest honors in Geosciences; B.A. in Astronomy from Smith College (Northampton, MA) 2010-2014
Fellowships, Awards, & Honors
STAR Award : USGS Geologic Hazards Science Center, 2022
Social Justice Award (IDEEAS): Office of Inclusion & Student Engagement, Cornell University, 2021
McMullen Fellowship: EAS Dept. Cornell University, 2021
Meyer Bender ’29 and Stephen Bender ’58 Memorial Scholarship: EAS Dept. Cornell University, 2020
Outstanding Student Presentation Award: American Geophysical Union (AGU), 2019
NASA Earth and Space Science Fellowship [two successful renewals], 2017-2020
Honorable Mention: NSF GRFP, 2017
Cornell Fellowship: Cornell University, 2016 Cum Laude with Highest Honors Smith College, 2014
Marshall Schalk Prize for Achievements in Geological Research: Smith College, 2014 Summer
REU : Keck Geology Consortium, 2013 Smith Summer Research Fellowship: Smith College, 2012
President’s Fund : Smith College, 2011
Dean of the College Fund: Smith College, 2011
Research Experience
Mendenhall Postdoctoral Fellowship (USGS), 2021- present
Project: Integrating remote sensing-based products into USGS ground failure models
Supervisors: Eric M. Thompson (main supervisor), Kate Allstadt
PhD Dissertation (Cornell University), 2016-2021
Title: There and back again: Exploring the impact of deforestation and desiccation on InSAR phase
Committee: Rowena Lohman (advisor), Rick Allmendinger, Bill Philpot
Postbaccalaureate Research (Earth Observatory of Singapore), 2014-2016
Title: Seismic Velocities and Fault Geometry in
Bangladesh and Nepal: Implications for Earthquake Hazard
Advisor: Judith Hubbard
Publications
Bürgi, P., Thompson, E. M., Allstadt, K. E., Murray, K. D., Mason, H. B., Ahdi, S. K., & Katzenstein, D. (2024). The influence of anthropogenic regulation and evaporite dissolution on earthquake-triggered ground failure. Nature Communications, 15(1), 2114. https://doi.org/10.1038/s41467-024-46335-3
Görüm, T., Tanyas, H., Karabacak, F., Yılmaz, A., Girgin, S., Allstadt, K. E., Süzen, M.L., & Bürgi, P. (2023). Preliminary documentation of coseismic ground failure triggered by the February 6, 2023 Türkiye earthquake sequence. Engineering Geology, 327, 107315.
Lohman, R. B., & Bürgi, P. M. (2023). Soil moisture effects on InSAR-A correction approach and example from a hyper-arid region. Remote Sensing of Environment, 297, 113766.
Li, X., Burgi, P., Ma, W., Noh, H. Y., Wald, D. J., & Xu, S. (2023). Normalizing Flow-based deep variational bayesian network for seismic multi- hazards and impacts estimation from InSAR imagery. WE4.R15.5.
Bürgi, P. M., & Lohman, R. B. (2021). High‐ resolution soil moisture evolution in hyper‐arid regions: A comparison of InSAR, SAR, microwave, optical, and data assimilation systems in the southern Arabian Peninsula. Journal of Geophysical Research: Earth Surface, 126(12), e2021JF006158. doi.org/10.1029/2021JF006158
Bürgi, P., Hubbard, J., Akhter, S. H., & Peterson, D. E. (2021). Geometry of the décollement below eastern Bangladesh and implications for seismic hazard. Journal of Geophysical Research: Solid Earth, 126(8), e2020JB021519. doi.org/ 10.1029/2020JB021519
Bürgi, P., Lohman, R. B. (2020) Impact of forest disturbance on InSAR surface displacement time series. IEEE Transactions on Geoscience and Remote Sensing. doi.org/10.1109/ TGRS.2020.2992938
Hubbard, J., Almeida, R., Foster, A., Sapkota, S., Bürgi, P., Tapponnier, P. (2016). Structural segmentation controlled the 2015 Mw 7.8 Gorkha earthquake rupture in Nepal. Geology, 44(8), 639- 642.
Publications in Preparation
Engler, D., Thompson, E., Burgi, P., Allstadt, K. E., Jaiswal, K., Maurer, B. W., & Geyin, M. (in prep.).
Integrating regionalized geotechnical information into the U.S. Geological Survey’s liquefaction product within a Bayesian framework.