I’m a third-year Computing and Mathematical Sciences Ph.D. student in the Computational Vision Group at Caltech, advised by Pietro Perona. My interests tend to cluster around machine learning, computer vision, and signal/image processing.
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.
- 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.