Polina Golland

Polina Golland

Biography

I am a professor in the EECS Department and an associate director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. My primary research interest is in developing novel techniques for biomedical image analysis and understanding. I particularly enjoy working 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. I am interested in shape modeling and representation, predictive modeling and visualization of statistical models. My current research focuses on developing statistical analysis methods for characterization of biological processes based on image information. In this domain, I am interested in modeling biological shape and function, how they relate to each other and vary across individuals.

Awards

  • MIT EECS: Faculty Research Innovation Fellowship (2016)
  • Electrical and Computer Engineering Department Heads Association: Diversity Award (2014)
  • MIT: Jamieson Prize for Excellence in Teaching (2013)
  • MIT: Smullin Prize for teaching (2011)
  • Medical Image Computing and Computer Assisted Intervention Society: Young Investigator Award (2011)
  • Medical Image Computing and Computer Assisted Intervention Society: Young Investigator Award (2010)
  • National Science Foundation: Career Award (2007)
  • Medical Image Computing and Computer Assisted Intervention Society: Young Investigator Award (2007)