CW3E Welcomes Dr. Agniv Sengupta
February 3, 2022
Dr. Agniv Sengupta joined CW3E as a Subseasonal-to-Seasonal (S2S) Scientist in January 2022. His research interests broadly span across climate dynamics, hydroclimate variability, prediction, and predictability, with particular emphasis on the application of artificial intelligence and machine learning methods in geophysical data analysis. Prior to joining CW3E, Agniv was employed at the NASA Jet Propulsion Laboratory (JPL) as a postdoctoral scholar under the supervision of Dr. Duane Waliser (2020-2021). At JPL, his research focused primarily on leveraging sources of predictability at longer lead times for the development and dissemination of seasonal winter precipitation forecasts over the western United States using novel statistical and machine learning methods. In the interest of supporting the upcoming Fifth U.S. National Climate Assessment Report, Agniv also investigated the representation of the global and regional water cycle in climate model simulations. Before moving to California, Agniv received his Ph.D. (2020) and M.S. (2016) in Atmospheric and Oceanic Science from the University of Maryland (UMD) at College Park. His doctoral research at UMD was focused on sea-surface temperature based statistical forecasting of the South-Southeast Asian summer monsoon rainfall. Agniv’s M.S. thesis involved an attribution analysis of the evolution of the 2015-16 El Niño episode.
At CW3E, Agniv will serve as the lead for the Machine Learning Team, whose activities include advancing models for predictions at weather and S2S timescales, development of decision support tools, and interpretable learning. He will leverage his background in climate dynamics to further the Center’s goal of improving the S2S prediction skill over the western United States and develop forecast products in coordination with stakeholders.