معرفی
Rebecca Hutchinson is an Associate Professor at Oregon State University, holding a joint appointment in the School of Electrical Engineering and Computer Science and the Department of Fisheries, Wildlife, and Conservation Sciences. She is affiliated with the Center for Quantitative Life Sciences and the Collaborative Robotics and Intelligent Systems (CoRIS) Institute. Her research focuses on developing machine learning methodologies for ecological and conservation applications, particularly in geospatial data analysis and citizen science data interpretation.
- Ph.D. in Computer Science from Carnegie Mellon University (2009)
- B.S.E. in Computer Science from Bucknell University (2002)
Her research integrates machine learning with quantitative ecology, emphasizing species distribution modeling, habitat summaries, and addressing imperfect detection in ecological datasets. She leads the ML QuESt Lab, which applies deep learning to satellite imagery for sustainability tasks and explores model evaluation frameworks for geospatial problems.
Recent publications include work on spatial clustering of citizen science data, under-counted matrix completion, and geospatial cross-validation methods. Her lab's projects often involve interdisciplinary collaborations with ecologists and conservation scientists.
- NSF CAREER Award (2021)
- Best Paper (proposals track) at ICML 2021 Workshop on Tackling Climate Change with Machine Learning
- Kearney Faculty Scholar (2024-2026)
- 2024 L.L. Stewart Faculty Fellow (PRAx Arts+Science program)
Rebecca has advised numerous graduate students, including Laurel Hopkins (Ph.D. 2024), Mark Roth (MS 2024), and Eugene Seo (Ph.D. 2021). Her lab has secured grants from NSF (CAREER), NASA (FINESST Fellowship for Laurel Hopkins), and institutional fellowships. She also participates in creative science-art partnerships through the Patricia Valian Reser Center for the Arts.
