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Polina Golland is a Professor in the Department of Electrical Engineering and Computer Science at MIT. Her research interests span computer vision and machine learning, with a current focus on developing statistical analysis methods for characterizing biological processes using images obtained from MRI and microscopy. She received her BSc and MS in Computer Science from the Technion in Israel (1993 and 1995 respectively) and her PhD in Electrical Engineering and Computer Science from MIT in 2001. Since joining the faculty in 2003, Polina has dedicated her work to developing novel techniques for biomedical image analysis and understanding, particularly in algorithms that explore the geometry of imaging processes to improve image-based inference and statistical modeling of image data. Her interests include shape modeling and representation, predictive modeling, and visualization of statistical models.