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.
- 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
Professor Jamali’s teaching interests include core chemical engineering principles at both undergraduate and graduate levels, emphasizing transport phenomena, fluid mechanics, and AI/ML for experimental chemical engineering. Her instruction aims to develop critical problem-solving skills and a strong foundation in chemical engineering fundamentals. Professor Jamali actively engages graduate and undergraduate students in her courses, fostering an interactive and research-informed learning environment. (70 words)
Postdoc, Chemistry, University of California Berkeley, 2022
PhD, Chemical and Biomolecular Engineering, Rice University, 2017
BS, Chemical Engineering, Sharif University of Technology, 2011
SN Housley, AR Bourque, LV Matyunina, IA Panicker, ES Echeverri, ..., Tumor agnostic drug delivery with dynamic nanohydrogels, Nature Communications 17 (1), 184, 2026
K Requejo Roque, C Cañari Chumpitaz, V Jamali, R Ruiz, AP Alivisatos, ..., Quantifying photochemical propulsion in light-powered Janus micromotors, ChemRxiv 2026 (0113), 2026
Z Shabeeb, N Goyal, P Attah Nantogmah, V Jamali, Learning the diffusion of nanoparticles in liquid phase TEM via physics-informed generative AI, Nature Communications 16 (1), 6298, 2025
I Panicker, Z Shabeeb, C Hargus, V Jamali, Solution-Tunable Interfacial Interaction Landscape Governs Anomalous Nanoparticle Diffusion in Liquid-Phase Electron Microscopy, ChemRxiv 2025 (1224), 2025
A Wang, M Xu, R Goel, Z Shabeeb, I Panicker, V Jamali, SAM-EM: Real-Time Segmentation for Automated Liquid Phase Transmission Electron Microscopy, In AI for Accelerated Materials Design-NeurIPS 2025.