“Aditya Saxena is a researcher whose work bridges traditional and machine learning methodologies in quantitative finance. He earned his master’s degree in Computer Science and Statistics from Harvard University, where his research focused on applying machine learning to quantitative finance, investor behavior, systemic risk, and adaptive market dynamics. He completed his thesis at the MIT Laboratory for Information and Decision Systems (LIDS) in collaboration with the Departments of Economics and Statistics at Harvard. His work has been published in leading journals and conferences, including Springer Nature and IEEE.
Previously, Aditya co-founded a Generative AI B2B SaaS venture, which was adopted by SP Jain School of Global Management (Dubai, Mumbai, Singapore, UK, and Sydney) in 2024. He holds a Bachelor’s degree in Computer Science (B.E.) from BITS Pilani, where he was actively involved in research and student organizations, earning recognition for excellence in both research and entrepreneurship.”