Gal Mishne is an assistant professor at the Halıcıoğlu Data Science Institute at the University of California, San Diego. Mishne is an expert in high-dimensional data analysis, nonlinear dimensionality reduction and image processing, with applications to neuroscience and biomedical data. Before joining UCSD, she was a Gibbs assistant professor in the applied mathematics program at Yale University in Ronald Coifman’s research group. She received her Ph.D. in electrical engineering in 2017 from the Technion in Israel under the supervision of Israel Cohen. She holds B.Sc. degrees (summa cum laude) in electrical engineering and physics from the Technion, and upon graduation worked as an image processing engineer for several years. She is a 2017 Rising Star in EECS and a Vanderbilt Emerging Scholar in Science.