Incoming Assistant Professor, MIT EECS’ Faculty of AI and Decision Making and CSAIL; Visiting Researcher, Google
Sara Beery is an incoming assistant professor at MIT EECS’ Faculty of AI and Decision Making and CSAIL, and a Visiting Researcher at Google working on Auto Arborist. She has always loved the natural world, and she has seen a growing need for technology based approaches to conservation and sustainability challenges. Her research focuses on building computer vision methods that enable global-scale environmental and biodiversity monitoring across data modalities, tackling real-world challenges including strong spatiotemporal correlations that lead to domain shift, imperfect data quality, fine-grained categories, and long-tailed distributions.
Beery received her PhD in Computing and Mathematical Sciences (CMS) at Caltech, advised by Pietro Perona, where she recieved the Amori Doctoral Prize for my dissertation. She was honored to be awarded both the PIMCO Data Science Fellowship and the Amazon AI4Science Fellowship, which recognize senior graduate students that have had a remarkable impact in machine learning and data science, and in their application to fields beyond computer science. Her work has been funded in part by an NSF Graduate Research Fellowship and the Caltech Resnick Sustainability Institute.