Bio

Mark Veillette is a Senior Technical Staff member in the Air Traffic Control and Weather Systems Group at MIT Lincoln Laboratory and co-lead of the MIT Earth Intelligence Engine, a research collaboration aimed at advancing AI applications for weather and climate resilience. Mark specializes in developing AI-driven solutions for meteorological challenges, focusing on machine learning, deep learning, and probabilistic modeling. He leads the development of several operational AI-based weather systems used by the FAA and DoD, including the FAA’s Offshore Precipitation Capability (OPC) and the US Air Force’s Global Synthetic Weather Radar (GSWR).

Mark is an active contributor to research advancing real-time weather forecasting, synthetic radar generation, and decision support systems for air traffic management and defense operations. Beyond his technical contributions, he mentors graduate students and research staff, fostering innovation at the intersection of AI, meteorology, and high-performance computing.

Dr. Veillette earned his B.S. in Mathematics from Bucknell University in 2005 and his Ph.D. in Mathematics from Boston University in 2010, where his research focused on probability theory, stochastic processes, and machine learning. In addition to his technical roles, Mark serves as Associate Chief Editor for the Artificial Intelligence for the Earth Systems section of the Bulletin of the American Meteorological Society, collaborating with authors and reviewers to advance the field.