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About

Dr. Gary Foreman is a pioneering figure in microbial oceanography and autonomous marine robotics, whose work addresses the fundamental logistical challenge of sampling the vast, dynamic ocean. His research focuses on developing and deploying autonomous underwater vehicles (AUVs) to study fine-scale biogeochemical processes, particularly the deep chlorophyll maximum layer (DCML) in complex ocean features like subtropical eddies. Foreman's major contribution lies in demonstrating that robotic platforms can autonomously identify and target ephemeral, ecologically critical zones—such as the DCML—in real time, enabling high-resolution sampling that was previously impossible with traditional ship-based methods. His landmark 2018 paper, "Autonomous Targeted Sampling of the Deep Chlorophyll Maximum Layer in a Subtropical North Pacific Eddy," has garnered 7 citations and serves as a foundational proof-of-concept for adaptive robotic sampling in microbial oceanography. This work not only showcases the potential to dramatically increase sample collection efficiency—overcoming constraints of weather, time, and budget—but also opens new frontiers for understanding microbial community dynamics and carbon cycling in the ocean's most productive layers. Foreman's innovations are reshaping how oceanographers explore and monitor the marine environment.