Barnali Das is a Postdoctoral Research scholar at the University of California, Santa Barbara, in the Climate Hazards Center.
She graduated from the University of Pune, India, with a PhD in Geography. Her research focuses on forecasting agricultural statistics using machine learning. Currently, her work utilizes earth observation products, remote sensing, satellite-derived biophysical parameters, and machine learning methods to understand how climate extremes affect crops in Sub-Saharan Africa. Prior to joining the University of California, Santa Barbara, Barnali worked for the Smithsonian Tropical Research Institute, Panama, as a Postdoc. Her research mainly focused on how climate change and shoreline change affect mangroves in Central America. Before joining PhD, she worked for the India Meteorological Department as a Senior Research Fellow under the project Forecasting Agricultural Output using Space, Agro-meteorology, and Land-based Observations (FASAL). She also worked as a teaching assistant for Remote Sensing and Geo-statistics at the university level. In her free time, she likes visiting new places, taking long walks, gardening, painting, reading, and cooking.