Renata M. Diaz

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. I believe strongly in the importance of open science, and I work to develop open-source software packages and train practitioners of all skills levels in best practices for open, reproducible computational research.


University of Arizona - Communications and Cyber Technology

Data Scientist | Data Science Team | 2023 - present


University of Maine - School of Biology and Ecology

NSF Postdoctoral Fellow | EcoEvoMatics Lab | 2022 - 2023


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