Prof. Stefanie Jegelka

Jegelka's research revolves around designing models and efficient algorithms for machine learning problems, in particular with discrete and combinatorial structure. This involves machine learning, optimization, discrete mathematics, algorithms...more specifically, She has worked on submodular functions in machine learning, graph problems, graphical models, kernel methods and clustering, distributed machine learning, and applications e.g. in computer vision and biology.