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