I am a Signal Analysis Engineer in David Bekaert’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.
- Ph.D. in Applied Mathematics, UCLA
- B.A. in Mathematics, UC Berkeley
SAR, Remote Sensing of Forests, Machine Learning, Network Science
- JPL Signal Analysis Engineer, 2020 - present
- JPL Postdoctoral Fellow, 2017 - 2020
- Data Scientist, Operam, 2017
- Graduate Student Researcher, Teaching Assistant, and Instructor, UCLA, 2010 -2017
- Carlos Silva, Laura Duncanson, Steven Hancock, Amy Neuenschwander, Nathan Thomas, Michelle Hofton, Lola Fatoyinbo, Marc Simard, Charles Marshak, John Armston, Scott Lutchke, Ralph Dubayah. Fusing Simulated GEDI, ICESat-2 and NISAR Data for Regional Aboveground Biomass Mapping, (Remote Sensing of Environment, 2021). [Publisher Link]
- Charlie Marshak, Marc Simard, Michael Denbina, Johan Nilsson, and Tom Van der Stocken. Retrieving a River Delta Network with the Fast Marching Method and Python (International Journal on Geo-Information. [Publisher Link] [Github Page]
- Tien-Hao Liao, Marc Simard, Charlie Marshak, Michael Denbina, and Nathan Thomas. Mangrove Mapping With The Freeman-Durden Polarimetric Decomposition And InSAR Coherence From ALOS-2, (IGARSS 2020).
- Charlie Marshak, Marc Simard, Laura Duncanson, Carlos Alberto Silva, Michael Denbina, Tien-Hao Liao, Lola Fatoyinbo, Ghislain Moussavou, and John Armston. Regional Tropical Aboveground Biomass Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels, (Remote Sensing, 2020). [Publisher link]
- Charlie Marshak, Marc Simard, and Michael Denbina Monitoring Forest Loss in ALOS/PALSAR Time-Series with Superpixels, (Remote Sensing, 2019). [Publisher link] [IGARSS 2019]
- Charlie Marshak, Igor Yanovsky, and Luminita Vese. Energy Minimization for Cirrus and Cumulus Cloud Separation in Atmospheric Images. (IGARSS, 2018). [Preprint] [Publisher link]
- Mihai Cucuringu, Charlie Marshak, Dillon Montag, and M. Puck Rombach. Rank Aggregation for Course Sequence Discovery. (Complex Networks, 2017). [Preprint] [Publisher link]
- Charlie Marshak, M. Puck Rombach, Andrea L. Bertozzi, and Maria R. D’Orsogna. Pursuit on an Organized Crime Network. (Phys. Rev. E 93, 022308, 2016). [Preprint] [Publisher link]
- Roman Ruggera, Pedro Blendinger, Charlie Marshak. Linking Structure and Functionality in Mutualistic Networks: Do Core Frugivores Disperse More Seeds than Peripheral Species? (Oikos Journal, 2015). [Publisher link]
