Dr. Katzfuss is an assistant professor in the Department of Statistics at Texas A&M University. He has nine years of experience with the statistical analysis of satellite data, and he developed innovative and scalable algorithms for the analysis of large spatial datasets. As part of this project, he would work with Dr. Braverman and Dr. Nguyen on fusing XCO2 and other ancillary fields from different instruments. He would lead the effort to: (1) parallelize the SSDF algorithm, and (2) compress the error covariance matrix so that it can be provided as part of the fused and gap-filled products. Additionally, he would collaborate with Dr. Hobbs on validation and modification of the EFDR algorithm in identifying spatio-temporal anomalies in the fluxes obtained from DA systems.