Tamara Bidone

Tamara Bidone serves as an Assistant Professor of Biomedical Engineering and Adjunct Assistant Professor of Biochemistry and Molecular Pharmaceutics at the University of Utah, conducting interdisciplinary research through the Bioscience Programs with emphasis on computational approaches to biological macromolecules and cellular mechanics.

Her academic foundation includes:

• B.S. from Polytechnic University of Turin, Italy
• M.S. from Polytechnic University of Turin, Italy
• Ph.D. from Polytechnic University of Turin, Italy

Dr. Bidone's research program centers on elucidating structure-function relationships in biological macromolecules, particularly adhesion proteins and their role in cellular dysfunction and disease. She develops and applies advanced computational methodologies including molecular dynamics simulations, coarse-graining techniques, Brownian dynamics, and agent-based mesoscale modeling to investigate molecular and macromolecular dynamics. Her work spans biophysics, computational biology, and cellular mechanics with specific focus on integrin-mediated adhesion, cytoskeletal dynamics (actin and microtubules), and mechanical regulation of cellular processes.

Analysis of her 15 most recent publications (2023-2025) reveals a dominant trend in computational modeling of cellular adhesion mechanisms and cytoskeletal dynamics. Key thematic areas include integrin activation pathways (particularly αIIbβ3), microtubule tip mechanics, actin bundle formation, and data-driven approaches integrating machine learning with biophysical simulation. Her methodological innovations feature generative modeling, manifold learning, and equation-free dynamics applied to complex protein systems, providing critical insights into force-regulated conformational changes and disease mechanisms.

While no specific laboratory name is provided in available materials, her research contributes significantly to computational biosciences at the University of Utah, advancing fundamental understanding of cellular mechanics through sophisticated simulation frameworks that bridge molecular and cellular scales.