Sara Beery

Sara Beery is an assistant professor in MIT’s Department of Electrical Engineering and Computer Science, within the Faculty of Artificial Intelligence and Decision-Making and CSAIL. She develops computer-vision methods for environmental and biodiversity monitoring. Her research tackles distribution shift, imperfect data, fine-grained categories and long-tailed observations across multiple sensing modalities. She earned her doctorate at Caltech and works with conservation practitioners to develop and deploy tools that make large environmental datasets more useful.

Machine Learning in the Wild: Reliability Beyond the Training Distribution

Applied computer vision and distribution shift