Ecology and Evolutionary Biology
This group uses statistical, mathematical, and computational models to understand ecological systems, evolutionary processes, and infectious disease dynamics. Their work bridges disciplines, integrating data from wildlife, genetics, and public health to study population change and disease transmission.
Themes:
- computational biology
- evolutionary biology
- quantitative ecology
- mathematical modeling
Members
- Ryan Gutenkunst - Computational biology, with focus on inferring history and natural selection from population genomic data
- Joanna Masel - Evolutionary theory, Population genetics, bioinformatics
- Liliana Salvador - Animal and Comparative Biomedical Sciences - Multidisciplinary approach to study the dynamics of zoonotic infectious diseases. We develop computational, mathematical and data-driven models to understand the ecology and evolution of infectious diseases at the wildlife, livestock and human interface.
- Robert Steidl - Quantitative ecology; Dynamics of animal populations; Conservation biology.
- Bruce Walsh - Quantitative genetics/genomics; Mathematical models for genetics/evolution
Plant Science
This group develops imaging and simulation tools to study how natural variation shapes plant function. Their work aims to understand and improve plant responses to environmental challenges, with applications in agriculture and ecosystem resilience under climate change.
Members
- Alexander Bucksch - research is motivated by the threads that climate change imposes on the agricultural and natural plant ecosystem. Therefore, we develop imaging and simulation approaches to understand the function of natural variation in plants