معرفی
Carl Boettiger is an Associate Professor in the Department of Environmental Science, Policy, and Management at the University of California, Berkeley. He leads the Boettiger Group, focusing on ecological forecasting, decision-making under uncertainty, and data science applications in conservation. His research integrates theoretical ecology with computational methods to address regime shifts in ecological systems.
Education:
- Ph.D. in Population Biology, UC Davis (2012)
- B.A. in Physics, Princeton University (2007)
Research Interests: Theoretical ecology, ecoinformatics, modeling, and data science with applications in resilience, early warning signals, and natural resource management. His work combines Bayesian inference, optimal control theory, and software development to enhance ecological predictions.
Publications: Research spans ecological forecasting, conservation decision-making, and open science tools, with recent work emphasizing machine learning applications in fisheries management and biodiversity monitoring.
Awards:
- CAREER Award, NSF (2020)
- Early Career Fellow, Ecological Society of America (2020)
- Hellman Fellow (2018)
- Volterra Award (2011)
Students and Grants: Advises graduate students on conservation technology and ecological modeling. Secured over $15M in grants from NSF, NASA, and private foundations for projects on ecological forecasting and open-source software development.
Labs and Teams: Leads the Boettiger Group and co-founded the Eric and Wendy Schmidt Center for Data Science and Environment. Contributes to rOpenSci and Rocker open-source communities.
