Grant M. Rotskoff

Grant M. Rotskoff is an Assistant Professor in the Department of Chemistry at Stanford University, with additional appointments in Bio-X and the Institute for Computational and Mathematical Engineering (ICME). His research bridges theoretical physics, computational chemistry, and machine learning to explore nonequilibrium phenomena in living systems.

• Ph.D. in Biophysics, UC Berkeley (NSF Graduate Research Fellowship)
• B.S. in Mathematics, University of Chicago

Research Interests: Focused on mesoscale biophysics, nonequilibrium dynamics, and machine learning applications for molecular modeling. Key areas include active biomaterials, protein-membrane interactions, and entropy production in optical matter systems.

Recent Trends: His 2024-2025 publications reveal a strong emphasis on machine learning for molecular systems, nonequilibrium control, and nanostructure assembly, with interdisciplinary applications in drug delivery (mRNA nanoparticles), optical physics (Ag nanoparticle entropy), and structural biology (NMR-based molecule prediction).

Awards:

• 2024 Scialog Collaborative Innovation Award
• DOE Early Career Research Program (2022-2027)
• Google Research Scholar Award (2022)
• Stanford Terman Fellowship (2020-2022)

Advising & Collaborations: Currently advising 15 doctoral students and postdocs across chemistry, physics, and computational fields. Collaborates with labs working on optical matter dynamics and mesoscale simulation frameworks.