I am a data scientist, with roots in field and computational ecology. I use a variety of approaches, including computationally- and data- intensive synthesis, cross-disciplinary statistical methods, and theoretical frameworks derived from ecology and complexity science. In addition to research and development, I work to build open-source software packages and train practitioners of all skill levels in best practices for high-quality, reproducible computational research.
Current
Cornell Lab of Ornithology - Center for Avian Population Studies
Machine Learning Data Engineer | eBird Status and Trends | 2024-present
Previous
University of Arizona - Communications and Cyber Technology
Data Scientist | Data Science Team | 2023 - 2024
University of Maine - School of Biology and Ecology
NSF Postdoctoral Fellow | EcoEvoMatics Lab | 2022 - 2023
Education
University of Florida - School of Natural Resources and Environment
PhD in Interdisciplinary Ecology | Weecology Lab | 2017 - 2022
Princeton University - Dept. of Ecology and Evolutionary Biology
BA in Ecology and Evolutionary Biology | Pringle Lab | 2011 - 2015