MIT professor Polina Golland has been named a fellow of the American Institute for Medical and Biological Engineering (AIMBE) for her outstanding contributions to the development of novel techniques for biomedical image analysis and understanding. Golland is joining a group of the top two percent of medical and biological engineers in the country.
Golland is a Henry Ellis Warren (1894) professor of EECS and a principal investigator at CSAIL where she leads the Medical Vision group. Her research interests focus on developing novel techniques for biomedical image analysis and understanding. She works on algorithms that either explore the geometry of the world and the imaging process in a new way, or improve image-based inference through statistical modeling of the image data.
Golland’s current research focuses on developing statistical analysis methods for characterization of biological processes based on image information. Specifically, modeling biological shape and function, how they relate to each other and vary across individuals.
She received her PhD from MIT and her Bachelor and Master’s degree from Technion, Israel.