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Add research summary blurb
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research.md

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Agent-based evolutionary modeling enables exploration of the big-picture how and why behind incredible biological capability for adaptation, complexity, and novelty.
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This field of work, known as "digital evolution," knits interdisciplinary connections between computer science and evolutionary biology to design and study digital processes and structures that capture lifelike properties.
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Biologically-inspired techniques leveraging evolution as an algorithm can often produce good solutions to hard real-world problems.
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They also provide a useful model system to study difficult questions in evolutionary theory.
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My work focuses on understanding organisms' adaptation to the evolutionary process itself ("evolvability") and on developing methodology to simulate larger-scale digital artificial life systems, particularly with respect to high-performance computing and digital multicellularity.
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I am particularly passionate about bringing research into practice by building reusable software that advances the field.
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You can find more details about research projects I'm involved in below.
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Selected highlights from my publications are available on my [Professional Works page](/works/).
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{% for theme in site.data.project_themes %}
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<div class="peek_details lollipop">

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