I’m interested in computer vision, machine learning, and using these techniques to enable scientific progress in ecology and medicine. My work is supported by an NSF Graduate Research Fellowship.
I graduated from Duke University in May 2017 with a B.S.E. in Electrical and Computer Engineering and Mathematics. I’ve also spent time at Microsoft Research, the Air Force Research Lab, the Duke University Marine Lab, and the Woods Hole Oceanographic Institution.
Previously, I’ve worked on OCT imaging and image processing with Sina Farsiu, datacenter-level computational sprinting with Benjamin C. Lee, bioacoustic signal detection with Douglas Nowacek, environmental sensing with Martin Brooke, and oceanographic data analysis with Cindy Van Dover.
- June 2021: Our CVPR 2021 paper is available: Multi-Label Learning from Single Positive Labels.
- May 2021: New preprint: When Does Contrastive Visual Representation Learning Work?.
- Mar 2021: Our CVPR 2021 paper is available: Benchmarking Representation Learning for Natural World Image Collections.
- Dec 2020: Co-organizing the FGVC8 workshop at CVPR 2021.
- Nov 2020: Co-organizing the iWildCam competition for the FGVC8 workshop at CVPR 2021.
- Oct 2020: Co-organizing the GeoLifeCLEF competition, co-located at CLEF 2021 and the FGVC8 workshop at CVPR 2021.
- Sep 2020: I am giving a talk at the LifeCLEF workshop on September 25.
- Jun 2020: Spending the summer at Google Research.
- Apr 2020: The GeoLifeCLEF 2020 dataset has been released! Read the paper here and participate in the competition here.
- Mar 2020: The iWildCam 2020 competition is now live - check out the Kaggle page here.
- Feb 2020: Sara Beery and I are visiting the Jetz Lab at Yale. We are also giving the Center for Biodiversity and Global Change Seminar on February 25.
- Jan 2020: Sara Beery and I are traveling to Kenya to conduct a camera trap study in conjunction with The Great Grevy’s Rally.
- Nov 2019: Co-organizing the iWildCam competition for the FGVC7 workshop at CVPR 2020.
- Oct 2019: Co-organizing the GeoLifeCLEF competition at CLEF 2020. This is a great opportunity to work on challenging problems at the intersection of spatial prediction, multi-label learning, and biodiversity - if you’re interested in any of these areas, consider participating!
- Jul 2019: Our paper Presence-Only Geographical Priors for Fine-Grained Image Classification was accepted at ICCV 2019. We are also presenting this work at the co-located Computer Vision for Wildlife Conservation workshop.
- May 2019: Spending the summer working with the AI for Earth team at Microsoft Research.
- May 2018: Spending the summer at the Air Force Research Lab.
- Sep 2017: Starting my Ph.D. at Caltech.