Gian Marco Visani

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Gian Marco Visani is a PhD student at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he is advised by Armita Nourmohammad. He completed his bachelor’s degree in computer science at Tufts University, Massachusetts. There, as a research assistant, he developed machine-learning solutions for problems in computational biology and healthcare. His research interests lie at the intersection of theoretical machine learning and biomedicine. He joined Nourmohammad’s group to work on physics-inspired deep-learning algorithms for structural biology.


Machine-Learning Model Reveals Protein-Folding Physics

An algorithm that already predicts how proteins fold might also shed light on the physical principles that dictate this folding. Read More »