Suzanne is a third-year PhD student in the Computing and Mathematical Sciences department at Caltech. She is working to research machine learning and computer vision techniques to work on ecological problems. Suzanne understands the importance of policy and cross-discipline communication in order to enact widespread changes in wildlife conservation, biodiversity monitoring, and climate change mitigation. She has worked with Rainforest Connection to enhance audio detection of forest predation, and more recently, with Trout Unlimited and Ai.Fish 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 computational techniques.