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RESEARCH Can we engineer molecules and materials with Nature’s Intelligence? At MMLab, we learn from Nature the ability to create multifunctional molecules and materials for circularity as well as performance. Following biomimicry principles, we implement computational chemistry, atomistic simulations, and machine learning to design nature-learned molecules and materials from biomass to tackle critical global challenges in self-healing infrastructure, precision agriculture, and harvesting and energy storage, while advocating for social-driven innovation.  COMPUTATIONAL CHEMISTRY & AI Implementing multiscale modeling and machine learning to accelerate materials discovery. NATURE-INSPIRED MATERIALS Learning from Nature the ability to design materials for circularity as well as performance. BIOMASS AND BIOBASED MATERIALS Modeling biomass and biobased materials towards AI-assisted integrated biorefineries. SELF-HEALING INFRASTRUCTURE Advancing a bioasphalt-by-design paradigm to create self…