Bio

The Ennist Group uses computational protein design to create new light-responsive proteins, enzymes, and oxygen transport systems with applications in energy and biology. By combining machine learning and physics-based modeling with experimental protein characterization, the group designs and tests novel photosystems that absorb light across the solar spectrum and efficiently separate charge. These genetically-encodable systems aim to enable solar-to-fuel conversion, improve biofuel production, and support the development of faster-growing, more energy-efficient crops. Experimental efforts, including spectroscopy, structural biology, and electrochemical measurements, are used to validate and refine computational designs. Positioned at the intersection of physics, biochemistry, and data-driven modeling, this research advances fundamental understanding of protein function while creating new platforms for sustainable energy and agricultural innovation.

Designing Light-Driven Proteins for Energy Conversion and Biological Function