Brie Corsa Email & Phone Number

Salt Lake City, Ut, Us

Usgs California Volcano Observatory

1: Generate raw DInSAR and integrated DInSAR+GNSS time series for eruptive events.2: Model volcanic source parameters for each event using DInSAR+GNSS time series, which contain 3 components of motion (east-west, x; north-south, y; and up-down, z). 3: Create synthetic training data related to DInSAR+GNSS. One training set is only time-sensitive and one has dual spatiotemporal components.4: Apply machine learning to both the time-sensitive data and the spatiotemporal-sensitive data. Compare the effectiveness/efficiency of the algorithms to accurately estimate future ground displacement. Determine the role that spatial information plays in reliably forecasting potential volcanic unrest.Integrated geodetic time series that capture the pre-, co-, post-phases of an eruption create a baseline for deformation patterns leading to hazardous events, can forewarn scientists to impending disasters, and distinguish between deformation types (volcanic, tectonic, hydrothermal, etc). Modeling volcanic source geometry helps map subsurface structure and magmatic parameters as 3D observations, and generates synthetic training data to teach machine learning algorithms to detect anomalous ground motions through time. Analyzing the influence of the spatial field within training data is the first step towards achieving consistent, reliable forecasts. These results will lead to fundamental understanding of the evolution of volcanic eruptions and will constrain subsurface transport pathways from surface deformation patterns.High-resolution Digital Surface Models (DSMs) are also a major goal of this project. DSMs depict the Earth’s topographic surface at sub-meter resolution and can be used to identify areas of elevation change through time, or calculate the total volume of material involved in a hazardous event. DSMs can also improve deformation estimates or be used to remove topographic error in DInSAR. DSM differencing can supplement decorrelated regions in SAR images.

Detection and time series analysis of natural hazards through utilization of optical and radar satellite remote sensing techniques.

Boulder, Colorado

1: GeoSciFramework Project: The GeoSciFramework project, funded by the NSF Office of Advanced Cyberinfrastructure and NSF EarthCube programs, aims to improve intermediate-to-short term forecasts of catastrophic natural hazard events, allowing researchers to instantly detect when an event has occurred and reveal the more suppressed, long-term motions of Earth's surface at unprecedented scales. Training machine learning algorithms to recognize patterns across various data signals during geophysical events.2. The Interaction of Mass Movements with Natural Hazards Under Changing Hydrologic Conditions: Research funded by NASA on landslide and debris flow dynamics influenced and initiated by regional geologic and climatic factors such as earthquakes, precipitation, and wildfire. Involves developing landslide models and susceptibility maps, (mostly with python-friendly programs), and global database collection and assembly. 3: Comparison of InSAR time series products generated under different processing techniques: We developed our own automated processing using the small baseline subset (SBAS) method performed in parallel using GMT5SAR and GIAnT on SUMMIT Supercomputer. Comparing performance with ISCE and MintPy and an innovative technique (developed by Drs. Zheng and Zebker from Stanford Univ.), which focuses the topographic phase component of the SAR signal.4. Create digital elevation/surface models (DEMs/DSMs) from high resolution satellite optical imagery to compare differences in topography from before and after hazardous events5. Coupled hazards like landslide-induced tsunamis and arctic glacier mapping: measure surface deformation; displacement volume; LOS offset tracking; time series analysis (including integration of GPS for 3-D surface movement); map post-event landscape evolution ; and evaluate environmental impact - Licensed Drone Pilot and Visual Observer (VO) (May 2018- Present)- Department of Geologic Sciences Colloquium Committee & Social Chair

San Ramon, California

- Stormwater quality monitoring and testing: Identify and resolve compliance issues; recommend and implement corrective actions or preventive controls for cross-functional Client issues.- Ensure compliance through record-keeping and accurate and concise documentation- Complete fieldwork including, site investigations/observations and compliance inspections; including collecting photos, marking observations on maps and composing site visit summaries- Prepare and/or confirm accuracy of technical data, specifications, calculations, inventories, and/or reports in relation to submittals required by others (agencies, contractors, Clients, etc.); - Develop and provide data for internal or external reporting purposes; ensure that the data is accurate and/or based on sound business processes, and assumptions are clearly documented- Organize multiple assignments, sometimes of a complex nature or involving competing priorities, to produce work products that are accurate, thorough, and on time- Develop, write, revise, and improve procedures and processes to implement regulatory requirements

Volcano, Hawaii

-Independently deploy and monitor campaign GPS stations at various benchmark sites around the island. (8 hours per session). Download, organize, and transfer data files into HVO-internal system.-Collected fresh spatter and lava samples at Pu'u 'O'o volcano and flow field; measured electromagnetism across main lava tube; used handheld GPS to map progress of most recent lava flow. -Computer programming training (CSH, BASH, MatLab)-Assist in maintenance of seismic networks and installation of borehole tilt meters-Sort through years of collected electronic tilt signal, identify all Deflation-Inflation (D-I) events and record all related information into the internal database, and determine lag-time between motion sensed from Kilauea volcano to Pu'u 'O'o volcano. -Helicopter safety and defensive driving certified

- Participated in gradate-level fieldwork to obtain seismic data samples for analysis - Field mapping project of Castle Rock area in Boise, Idaho which included rock types and ages, faults, fault mechanisms, topographic contours, strikes and dips- Geo-statistical analysis of seismic activity in Challis, Idaho and compared data to that of the Yellowstone hotspot- Experience with circuits, wiring and soldering skills, proficient in Microsoft Office (Excel, Word, and PowerPoint), and basic programming in C+ and MATLAB- Construction of several seismometers and other instruments used for geyser research at Yellowstone National Park- Data and interpretations were presented to the Department of Geosciences- Strong experience working both individually and within a group setting

- Consistently dealt with valuable and personal information - Accountable for memorizing and upholding all university policies- Built and sustained professional relationships with students and faculty campus-wide- Worked closely with probationary and provisional students, reinstatement, and university appeals- Helped peers and prospective students stay on-track with academics and assisted with enrollment processes, major exploration, and math and science tutoring** Promoted to the sole Math and Science Peer Advisor for College of Arts and Science February 2014

Research Doctorate, Geology/Geophysics

Bachelor Of Science (Bs), Geophysics, Graduate

Minors in Physics and Applied Mathematics

Education record