This website is no longer being updated. For current information, please see my USGS profile or google scholar profile.
I am a computational scientist studying complex biological dynamics in changing and human-influenced environments. Using mathematical and computational models, I advance theory on how ecological and evolutionary dynamics interact in human-dominated systems, and develop inference methods to connect this theory to data. I strive to produce actionable, policy-relevant science. For more details, see Research Themes, my Publications, or Google Scholar.
I am currently a Postdoctoral Fellow at Resources for the Future (RFF), a non-profit environmental economics research institute in Washington, DC. At RFF, I work on several projects funded by SESYNC modeling socio-environmental systems to inform policy and management.
My research and current work draw on my previous experiences:
- developing methods to parameterize demographic models from genomic data (with Brad Shaffer and Peter Ralph),
- building theory for how environmental stochasticity affects population persistence given eco-evolutionary dynamics (with Luis-Miguel Chevin and my Ph.D. supervisor Marissa Baskett,
- modeling the effects of coastal salmonid aquaculture on ecological and evolutionary dynamics of sea lice and wild salmon (with Marty Krkosek and my M.Sc. supervisor Mark Lewis).
Research Themes
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Predictive tools for integrated socio-environmental systemsnetwork science, dynamical systems, optimization, machine learning
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Management of freshwater-coupled human-natural systemsbioeconomic optimization, dynamical systems, decision processes, hydrological models
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Inference in complex systemsmachine learning, agent-based models, Bayesian computing, genomic data
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Eco-evolutionary dynamics in human-dominated systemsstochastic processes, dynamical systems, quantitative genetics
News
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EFI2019 talk: Ecological forecasts for integrated socio-environmental systems (SES)
in EFI Conference presentation / / /
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Optimal investment to enable evolutionary rescue
in Theoretical Ecology / / /
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Efficient pedigree recording for fast population genetics simulation
in PLoS Computational Biology / / /
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The mechanisms of phenology: the patterns and processes of phenological shifts
in Ecological Monographs / / /
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Demographic inference in a spatially-explicit ecological model from genomic data: a proof of concept for the Mojave Desert Tortoise
in bioRxiV / / /
Notes
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So, you did some GLMs & compared with AIC. Congrats!
in R / statistics / model selection / GLM / AIC / deviance / / /
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Easy alternatives to bar charts in native R graphics
in R / statistical graphics / visualization / ggplot2 / lattice / / /
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Visualizing fits, inference, implications of (G)LMMs
in visualization / lattice / model checking / statistical graphics / GLMM / R / ggplot2 / / /