Cameron Mura

Cameron Mura holds dual appointments as a Senior Scientist at the University of Virginia's School of Data Science and the Department of Biomedical Engineering. His work bridges structural and computational biology, molecular biophysics, and biochemistry. He earned a Ph.D. in Biochemistry and Molecular Biology from UCLA and a B.S. in Chemistry from Georgia Tech, following a postdoctoral fellowship in computational molecular biology at UC San Diego.

Research Interests: Mura focuses on RNA-processing assemblies, molecular dynamics simulations, and computational chemistry. His lab integrates machine learning with experimental data to study protein structure-function relationships and RNA biology. Recent work explores protein fold spaces, drug interactions with proteins, and real-world evidence from large biomedical datasets.

Lab & Collaborations: He leads the Bourne & Mura Computational Biosciences Lab, focusing on biomolecular data science. His research spans protein structure prediction, vaccine adverse event analysis, and computational tools like Prop3D.

Publications: Mura's recent articles emphasize machine learning applications in structural biology, including generative models for protein folds and real-world evidence studies on vaccines and medications. Themes include interdisciplinary approaches to biomedical challenges.