Swetava Ganguli

Swetava Ganguli is a highly experienced Staff Machine Learning Research Scientist at Apple, specializing in multimodal generative AI systems and deep learning applications that integrate natural language processing and computer vision for geospatial intelligence. Previously, Swetava held positions in academia and industry, including a Teaching Assistant role at Stanford University and a Securities Summer Associate Strategist position at Goldman Sachs. Swetava's research has focused on various innovative methods, including self-supervised learning and advanced deep generative models, underlining a strong foundation in computational and applied mathematics acquired during education at Stanford University, where Swetava earned a PhD in Mechanical Engineering and multiple MS degrees. Swetava's early research experience includes internships in fluid mechanics and numerical methods, contributing to significant projects and presenting findings at international conferences.