Bedartha Goswami

About

Bedartha Goswami focuses on finding principled machine learning methods to derive low-dimensional representations of the climate and on developing data-driven models to predict weather patterns from long-term to seasonal scales. He received his Masters degree from IISER Pune in 2011 followed by a PhD at the Potsdam Institute for Climate Impact Research in 2015. Before joining IISER Pune in October 2024, he led an independent research group on machine learning and climate science at the University of Tübingen.