BEHIND SIM & SWARM

Vanessa
Mahan
Quintana

Ecological modeler. Software developer. Educator.

Vanessa Mahan Quintana smiling on a boat on the water

I’m interested in the small interactions that change the bigger picture.

My work explores how individual mechanisms and interactions shape complex ecological and environmental systems. I bring that same curiosity to Sim & Swarm: building tools that help people investigate, understand, and learn from complexity.

My background spans ecological and agent-based modeling, environmental science, and reproducible scientific software, alongside hands-on technical training for scientists and engineers.

Sim & Swarm brings these threads together through modeling, educational software, and tools that make scientific exploration more accessible.

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Research Philosophy

My research asks how simulation can build ecological knowledge that accumulates across models, systems, and applications. I study how individual mechanisms and interactions give rise to population- and ecosystem-level patterns, starting with environmental problems and testing explanations against observations. My goal is to connect applied modeling with broader ecological theory: comparing mechanisms across contexts to understand which relationships hold, where they break down, and what they can teach us about complex environmental systems.

Modeling Philosophy

I believe models should make their assumptions visible and their mechanisms available for others to examine, test, and reuse. That commitment to transparency and reuse led me to develop a modular simulation framework, organizing ecological processes into independently documented and testable components that can be recombined across applications. GoFish is an early application of this approach. By preserving mechanisms alongside their assumptions and evidence, I aim to make each model a foundation that others can build on.

Teaching Philosophy

My teaching philosophy centers on helping students reason from processes rather than memorize expected outcomes. I want students to make predictions, decide which mechanisms matter, test assumptions, and explain unexpected results. This approach builds critical thinking through exploration of complex systems. I have begun developing AgentBiome as an interactive virtual laboratory where students manipulate mechanisms and environmental conditions, then use emergent outcomes to test their understanding—the same bottom-up reasoning that guides my research.