My research interests lie in developing novel geostatistical data assimilation techniques to aid in the precise understanding and modeling of the physical processes controlling the global carbon cycle, specifically, the sources and sinks of carbon dioxide (CO₂). Currently, a number of satellite missions are being planned (eg., the NASA OCO-2 mission) to provide global coverage of high-density measurements of carbon dioxide. The caveat, however, is that the large number of measurements available will make exisiting inversion techniques computationally infeasible. My research work involves overcoming the aforementioned computational limitations alongside taking into account the various sources of uncertainty, scaling issues, quality of retrieved measurements etc. and accurately infer the surface fluxes of CO₂ from such satellite measurements. Such detailed inferences are crucial to both furthering our understanding of the global carbon cycle process and also in providing a scientific basis for future atmospheric CO₂ mitigation strategies.