Evozyne
Andrew Ferguson is responsible for leading the computational, machine learning, and software development efforts at Evozyne. Andrew is an Associate Professor at the Pritzker School of Molecular Engineering at the University of Chicago. His research uses theory, simulation, and machine learning to understand and design self-assembling materials, macromolecular folding, and antiviral therapies. He holds a Ph.D. in Chemical and Biological Engineering from Princeton University, and was a Postdoctoral Fellow of the Ragon Institute of MGH, MIT, and Harvard.
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Evozyne
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Evozyne combines evolution and deep learning technology to create highly functional novel proteins — Natural Machines™ — to solve longstanding challenges in therapeutics and sustainability. By amplifying a protein’s function based on the rules of nature, we address complex, high-impact problems. From developing life-changing patient treatments to making carbon capture a reality, Evozyne is committed to making a healthier, more sustainable world.