Associate Research Scientist, Mechanical EngineeringMentoring Plan
1301 Beal, Ann Arbor, MI 48109
Phone: (734) 936-0575
Nanoparticle formations and interactions using computational tools (Molecular Dynamics, Machine Learning, Stochastic Solvers), with particular emphasis on biological systems, non-thermal plasma and reactive gas-phase conditions. Applications include drug transport, bacterial biofilms control, combustion, ultra-soft materials, and low temperature plasma.
Violi's Group Publishes Article at NIPS on Machine Learning
Prof. Violi and Prof. Hero’s (U-M EECS) groups have recently joined forces and developed a data-driven sparse learning approach to model reduction in chemical reaction networks.