Engineering a
circular future
through computation

RECOVER Lab develops computational design frameworks and optimization methods to maximize resource efficiency, minimize waste, and enable sustainable material cycles at scale.

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About the Lab

Where computation
meets sustainability

RECOVER Lab sits at the intersection of computational design, systems engineering, and sustainable resource management. We develop advanced methods — including optimization, machine learning, and physics-informed simulation — to design systems that recover, reuse, and regenerate materials and energy.

Our work spans the full lifecycle: from material characterization and process modeling to system-level optimization and policy analysis. We partner with industry, national labs, and government agencies to translate research into real-world impact.

Work with us →
Computational Design
Physics-informed models, topology optimization, and data-driven design of recovery systems
Resource Recovery
Critical materials, waste valorization, and circular economy strategies at industrial scale
Systems Optimization
Multi-objective optimization of complex engineering systems under real-world uncertainty
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We welcome inquiries from prospective students, collaborators, and industry partners looking to advance sustainable systems engineering.

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RECOVER Lab
Computational Design & Resource Recovery
Prospective Students
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