Nibir Chandra Mandal is a Ph.D. student in Computer Science at the University of Virginia and a Graduate Research Assistant at the Biocomplexity Institute. His research centers on deep learning and AI for environmental and agricultural intelligence as part of the AgAID project. He builds vision-language models that fuse satellite imagery with structured environmental text, spatial metadata, and temporal context—advancing geospatial understanding, forecasting, and scientific decision support. Previously, he worked as a lecturer and researcher in Bangladesh, with experience in natural language processing, generative modeling, and applied AI for real-world systems.