Welcome! I am a Postdoctoral Research Scientist at Columbia University’s Earth and Environmental Engineering Department. I work with Prof. Pierre Gentine. My research is focused on improving our understanding of the heterogeneous processes linking the water, carbon and energy cycles. In particular, I work on developing new retrieval algorithms from remote sensing observations for different variables of the Water and Carbon cycles, and using the remote sensing estimates to characterize the dynamic feedback between terrestrial ecosystem and atmosphere.
Before joining Columbia University, I was a Postdoctoral Research Associate in the Department of Civil and Environmental Engineering at MIT working with Prof. Dara Entekhabi in Parsons Laboratory for Environmental Science and Engineering. At MIT, I developed a new polarimetric retrieval algorithm for the NASA’s Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) mission to estimate soil and vegetation parameters from P-band Synthetic Aperture Radar (SAR) observations. In contrast to the current global measurements of surface soil moisture using Soil Moisture Active Passive (SMAP) mission which has an L-band instrument, measurements in P-band frequencies have a higher penetration depth and can be used to retrieve soil moisture profiles up to several tens of centimeters.
I received my Ph.D. in Civil and Environmental Engineering from MIT in 2014 (supervisors: Prof. Dara Entekhabi, Prof. Dennis McLaughlin). My PhD dissertation was focused on quantification of uncertainty in remotely-sensed precipitation estimates. I developed an ensemble-based framework to characterize the uncertainty in precipitation estimates using historical errors. This framework generates realistic spatial (2D) replicates of rainfall that can be used to propagate the uncertainty into ecohydrological and meteorological models, especially those used in Data Assimilation.
- The quality of life depends upon the ability of society to teach its members how to live in harmony with their environment-defined first as family, then the community, then the world and its resources. (Ellen Swallow Richards, "Mother of Ecology")
- The purpose of models is not to fit the data but to sharpen the questions. (Samuel Karlin)
- Imagination is more important than knowledge. (Albert Einstein)