Polina Golland is a professor in the EECS Department and an associate director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Her primary research interest is in developing novel techniques for medical image analysis and understanding. Polina received her PhD from MIT and her Bachelor and Masters degree from Technion, Israel. She has worked on various problems in computer vision, motion and stereo, shape modeling and representation, predictive modeling and visualization of statistical models. Her current research focuses on modeling biological shape and function using images as a source of information.
Polina has served as an associate editor or a member of the editorial board for the IEEE Transactions of Medical Imaging, the Journal or Medical Image Analysis and NeuroImage. Polina has served on the board of directors of the International Society for Medical Image Computing and Computer Assisted Interventions and chaired the annual meeting of the society in 2014. She received the NSF Career Award in 2007, the Jamieson Prize for Excellence in Teaching in 2013 and the ECEDHA Diversity Award in 2014.