Jaime Ashander is a computational scientist focused on understanding the consequences of complex biological dynamics in changing and human-influenced environments. Using mathematical and computational models, he advances theory on how ecological and evolutionary dynamics interact, and studies inference methods to connect this theory to data. He has worked on methods to inform demographic models from genomic data, theory for how environmental stochasticity affects population persistence given eco-evolutionary dynamics, and models for the effects of coastal salmonid aquaculture on ecological and evolutionary dynamics of sea lice and wild salmon. At RFF, he is working to advance modeling of socio-environmental systems to inform policy and management.
- PhD in population biology, University of California, Davis, 2016
- MSc in applied mathematics, University of Alberta , 2010
- BS in physics, Stanford University, 2004