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Photo: Courtesy of the UChicago Pritzker School of Molecular Engineering/Jason Smith

Fabian Byléhn

Research Scientist • Computational Protein Engineer

About

Welcome! I am a PhD Candidate at the University of Chicago's Pritzker School of Molecular Engineering, where I combine computational methods with machine learning to help solve challenging problems in medicine and materials science.

Think of proteins as tiny molecular machines that perform countless essential functions in our bodies. My work focuses on understanding how these machines work and engineering them to work better – whether that's developing new therapeutic drugs or understanding disease mechanisms. I'm also fascinated by how we can use similar computational techniques to design new materials with properties not found in nature.

When I'm not training neural networks or running molecular simulations, I enjoy running with my legs and away from problems.

Latest Publication

An autonomous design algorithm to experimentally realize three-dimensionally isotropic auxetic network structures without compromising density

Meng Shen, Marcos A. Reyes-Martinez, Louise Ahure Powell, Mark A. Iadicola, Abhishek Sharma, Fabian Byléhn, Nidhi Pashine, Edwin P. Chan, Christopher L. Soles, Heinrich M. Jaeger & Juan J. de Pablo
npj Computational Materials (2024) 10:113