I’ve always been passionate about the natural world, and I saw a need for technology-based approaches to conservation and sustainability challenges. This led me to pursue a PhD at Caltech advised by Pietro Perona, where my research focuses on computer vision for global-scale biodiversity monitoring. My work is funded by an NSF Graduate Research Fellowship, a PIMCO Data Science Fellowship, and an Amazon AI4Science Fellowship. I work closely with Microsoft AI for Earth and Google Research/Wildlife Insights where I help turn my research into usable tools for the ecological community.
I believe STEM should be accessible to all, regardless of gender, race, age, nationality, sexuality, or religion. My experiences as a professional ballerina, a nontraditional student, and a queer woman have taught me the value of unique and diverse perspectives, both inside and outside of the research community. I am passionate about increasing diversity and inclusion in STEM through mentorship, teaching, and outreach.
I spend my free time traveling and tasting wine, ask me for recommendations! You can reach me at sbeery [at] caltech [dot] edu
Datasets & Models
- Leveraging Temporal Context for Object Detection: Google AI Blog
- How do I get started using machine learning for my camera traps?: WILDLABS Tech Tutorial
- CNNS Catch Animals in the Wild: Article in ACM News
- CompSust Open Graduate Seminar
- Microsoft Research Podcast
- Caltech Breakthrough Campaign
- WILDLABS Virtual Meetup: Camera Trapping
- Camera Trap Technology Symposium
- Technology for Biodiversity - The Seattle University Newsroom
- Dance Magazine
- Dancer, Engineer, Mathematician - The Seattle University Newsroom