Sara Beery

Sara Beery is the Homer A. Burnell Career Development Professor and Assistant Professor in AI+D at MIT, with appointments in the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her research develops computer vision methods for global-scale biodiversity monitoring that address real-world challenges like data sparsity and distribution shifts.

Research focuses on AI-driven solutions for ecological monitoring, including species identification from camera traps, satellite imagery analysis, and underwater sensing. Her work emphasizes domain adaptation techniques to handle imperfect field data and collaborates with conservation agencies for practical deployment.

Recent publications demonstrate innovations in open-set species recognition, temporal modeling for population counting, and generative AI for ecological forecasting. She leads projects like ElephantBook for participatory elephant monitoring and develops frameworks for conservation-specific AI evaluation.