Subhamoy Chatterjee is a research scientist in the Department of Solar and Heliospheric Physics. He specializes in novel application of Machine Learning techniques in various heliophysics problems. The problems range from data homogenization, generation, and prediction of solar transients to long-term study of the Sun. He is an integral part of the development team of SwRI’s probabilistic solar energetic forecasting model-ensemble MEMPSEP. He is currently working with the SwRI team to make MEMPSEP operational. During his time at SwRI, he won NASA research grants, namely NASA/HITS and NASA/HGIO, as a PI. With the support from NASA/HITS grant, he co-led teams of community college students to build an image-search framework for heliophysics data. With NASA/HGIO support, he extended that image search-framework by making novel integration of Generative AI with collaborators from SwRI and HAO/NCAR. He is currently driving efforts to use that framework as a foundation for approaching multiple heliophysics problems. At SwRI, he has also been an integral part of an effort led by HAO/NCAR to develop a Physics-AI hybrid for weeks-ahead prediction of large flare producing solar active region emergence.

Subhamoy earned his Bachelor’s degree (B.Tech.) in Electronics & Communication Engineering from Institute of Engineering & Management, Kolkata, India in 2012. He graduated with a Master’s (M.Tech.) in Astronomical Instrumentation in 2014 with first rank and a Ph.D. in Applied optics & Photonics in 2019 through a joint program of University of Calcutta, Kolkata, India and Indian Institute of Astrophysics, Bangalore, India. During master’s and PhD, He contributed to the optical design and image quality characterization of Solar Ultraviolet Imaging Telescope on-board ADITYA-L1 mission, and analyzed long-term solar chromospheric datasets. Soon after completing PhD he joined SwRI as a postdoctoral researcher. He is a life member of Astronomical Society of India, a member of AGU, AAS and a fellow of Royal Astronomical Society.