I'm a final-year Ph.D. candidate in the Computing and Mathematical Sciences department at Caltech. My advisor is Pietro Perona.
Research: I work on computer vision and machine learning. I'm particularly interested in representation learning with scarce, noisy, or contextual data, which is essential for addressing real-world challenges in science and medicine. I also build new machine learning benchmarks that align algorithmic innovation with progress on impactful applications. My work is supported in part by an NSF Graduate Research Fellowship and an Explorer Grant from the Resnick Sustainability Institute.
Previously: I graduated from Duke University in 2017 with a B.S.E. in Electrical and Computer Engineering and Mathematics. I've also spent time at Google Research, Microsoft Research, the Air Force Research Lab, the Duke University Marine Lab, and the Woods Hole Oceanographic Institution. I'm a proud product of public schools in Utah (Grantsville, Sandy, Salt Lake City), Nebraska (Omaha), and Texas (San Antonio).
I am on the 2022-2023 job market! Email is the best way to reach me.
Species Distribution Modeling for Machine Learning Practitioners: A Review
Sara Beery*, Elijah Cole*, Joseph Parker, Pietro Perona, Kevin Winner
ACM COMPASS 2021
Paper