Vida Jamali earned her Ph.D. in Chemical and Biomolecular Engineering from Rice University under the guidance of Prof. Matteo Pasquali and her B.S. in Chemical Engineering from Sharif University of Technology. Vida was a postdoctoral researcher in Prof. Paul Alivisatos lab at UC Berkeley and Kavli Energy Nanoscience Institute before joining GeorgiaTech. The Jamali Research Group uses experimental, theoretical, and computational tools such as liquid phase transmission electron microscopy, rheology, statistical and colloidal thermodynamics, and machine learning to study the underlying physical principles that govern the dynamics, statistics, mechanics, and self-organization of nanostructured soft materials, in and out of thermal equilibrium, from both fundamental and technological aspects.

Research Interests: 

• Studying dynamics and self-assembly of nanoparticles and macromolecules in heterogeneous chemical and biological environments
• Investigating individual to collective behavior of active nanomachines
• Harnessing the power of machine learning to understand physical rules governing nanostructured-soft materials, design autonomous microscopy experimentation for inverse material design, and develop new statistical and thermodynamic models for multiscale phenomena