About

I am a Signal Analysis Engineer in David Bekeart’s group at JPL. More descriptively, I am a geospatial data scientist, passionate about applying tools from machine learning, computer vision, and variational image processing to analyze remote sensing imagery. It is a privilege to work at JPL, learning from numerous expert minds and supporting exciting Earth Science projects.

Currently, I work on validation activities for the OPERA project. Validation entails verifying that OPERA products meet minimum accuracy and quality requirements using independent datasets and measurements. Specifically, I work on the pipeline to ingest these independent measurements into our cloud databases and then compare this validation data to provisional OPERA products.

I also work with the ARIA project to support the cloud processing that generates Sentinel-1 interferograms and related products. In this work, I also help to develop tools that better enable such processing in the cloud. Generally, we use ISCE2 to process Sentinel-1 TOPS imagery. These interferometric products can be searched and downloaded from the Alaska Satellite Facility data page.

Previously, I was a JPL postdoctoral fellow working under the supervision of Marc Simard using airborne and satellite SAR imagery to estimate biomass in dense tropical forests, map mangrove extents, and detect forest disturbances for NISAR-like analyses using data from ALOS-1, ALOS-2, and UAVSAR L-band sensors. In addition, we created remote sensing tutorials for NASA’s Land-Cover and Land-Use Change program to foster international remote sensing collaborations.

I earned my Ph.D. at UCLA under the supervision of Andrea Bertozzi and Mason Porter in applied and computational mathematics. I also worked closely with Puck Rombach during that time. I modeled processes in education, ecology, and organized crime using tools from network science. Additionally, I interned with Igor Yanovsky in the summer of 2016 applying Le-Vese segmentation to MISR images. Before coming to JPL as a postdoc, I worked at the advertising startup Operam as a data scientist measuring online engagement for clients in film and television.