Shelley Cazares is an AI/ML Technical Consultant at Google Public Sector, where she applies Google's foundational models to real-world use cases in the U.S. government. She works closely with Google Research on the development of Remote Sensing Foundational Models, large multimodal AI/ML models trained on massive datasets of satellite/airborne imagery and related text. 

Previously Dr. Cazares was the head of Public Sector Research at Clarifai, a startup in applied AI/ML, where she trained and delivered computer vision models to NGA and CDAO for operational missions. For 15 years at the Institute for Defense Analyses, a federally funded research and development center, she advised the Directors of NGA Research and IARPA on their AI/ML research portfolios. 

On sabbatical, Dr. Cazares served 23 days as an "Analog Astronaut" in a deep space simulation at NASA Johnson Space Center. As a visiting analyst with the Office of the Secretary Defense's Cost Assessment & Program Evaluation group, she co-authored a strategic assessment on AI/ML opportunities and limitations, influencing long-term funding for AI/ML national security research priorities. 

Earlier, Dr. Cazares was a Principal Research Scientist at Boston Scientific Corporation, patenting over 40 AI/Ml inventions in implantable cardiac devices. As a Marshall Scholar, she earned her doctorate in Engineering Science (Signal Processing & Neural Networks) at the University of Oxford. She earned her bachelor's degree in Electrical Engineering & Computer Science at MIT, with two minors in Biomedical Engineering and Spanish.