Genia Vogman completed her undergraduate work at the University of Washington. She graduated magna cum laude with a Bachelor of Science in Aeronautical and Astronautical Engineering and a Bachelor of Arts in Mathematics. Genia is currently pursuing a PhD at the University of California - Berkeley in the Applied Science and Technology Program.
Genia's research is focused on advancing our understanding of multi-scale dynamics of plasmas, which have fluid, kinetic, and electromagnetic properties. In particular, she is developing high fidelity and high performance models that capture the vast range of spatial and temporal scales exhibited in plasma phenomena such as magnetic reconnection and field-reversed configurations. Plasmas are typically modeled with either magnetohydrodynamic (MHD) or kinetic models. MHD assumes low-frequency dynamics, whereas kinetic models are completely general, but computationally costly. Model selection thus limits the temporal and spatial scales that can be resolved. To extend the range of scales that can be captured, Genia's research aims to develop a hybrid plasma model that couples a kinetic representation to a fluid MHD representation, while maintaining desirable conservation properties for algorithms: conservation of mass, momentum, and energy.