Austin Anderson
Director of Intelligence
Austin Anderson builds adaptive systems that make sense of complex data. He previously led AI development for a platform that helped customers work 30–50% more efficiently by streamlining data sources into actionable insights. At Booz Allen Hamilton, he worked at NASA Langley, where he supported the TEMPO mission by transforming raw satellite data into geospatial imagery. During his research at William & Mary, he developed a competition-winning convolutional neural network architecture and helped build geoBoundaries, the world’s largest open-license geospatial database. Austin graduated cum laude with a degree in Data Science, focusing on neural network development.
Outside of work, he enjoys rock climbing, endurance challenges, and working with his hands.