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Polina Golland is a professor at the Massachusetts Institute of Technology (MIT) in the Department of Electrical Engineering and Computer Science (EECS). She serves as the principal investigator at the Computer Science and Artificial Intelligence Laboratory (CSAIL). Her primary research interests revolve around the development of novel techniques for biomedical image analysis, emphasizing the understanding of images through algorithmic approaches. She particularly enjoys working with algorithms that explore the geometry of the imaging process, aiming to enhance image-based inference and statistical modeling of image data. Golland's current research focuses on creating statistical analysis methods for characterizing biological processes using image information. She is also interested in modeling biological shapes and understanding how these shapes function across varying individuals. An active participant in the academic community, she leads reading groups and seminars while mentoring MIT PhD students. Polina encourages potential candidates to apply to the EECS PhD program to further explore research opportunities in her group.