Suzanne is a PhD student in the Computing and Mathematical Sciences department at Caltech. She is developing efficient and environmentally-motivated methods in computer vision and AI. Suzanne understands the importance of policy and cross-discipline communication in order to enact widespread changes in biodiversity monitoring, resource management, and climate change mitigation. She has worked with Rainforest Connection to enhance audio detection of forest predation, with the Monterey Bay Aquarium Research Institute on enhancing low-signal-to-noise animal vocalizations in the ocean soundscape, and more recently, with a collection of fisheries and trout non-profits to improve identification and tracking of salmon populations in sonar videos.

Prior to Caltech, Suzanne worked as a software engineer at Amazon in San Francisco and JPL in Pasadena. She earned a B.A. in History and an M.S. in Computer Science from Stanford University. These experiences have sharpened her appreciation for interdisciplinary perspective and the real world impact of precise and efficient computational techniques.