Polina Golland

Affiliate Faculty
Phone: (617) 253-8005
Website: Golland Group
Lab Phone: (617) 253-8005
room: 32-D470
MIT address: CSAIL, 32 Vassar Street, Cambridge, MA 02139
Administrative Assistant: Ellie Zucker
assistant phone: (617) 324-6747
assistant email: eliaranov@csail.mit.edu

Polina Golland

Affiliate Faculty

title(s)

  • Henry Ellis Warren (1894) Professor of Electrical Engineering and Computer Science, Massachusetts Institute of Technology

bio

Polina Golland is a Professor of Electrical Engineering and Computer Science at MIT. Her research interests span computer vision and machine learning. Her current work focuses on developing statistical analysis methods for characterization of biological processes using images (from MRI to microscopy) as a source of information. She received BSc and Masters in Computer Science from Technion, Israel in 1993 and 1995, and a PhD in Electrical Engineering and Computer Science from MIT in 2001. She joined the faculty in 2003.

degrees

  • PhD in Electrical Engineering and Computer Science, MIT, 2001
  • MS in Computer Scince, Technion, Israel, 1995
  • BSc in Computer Science, Technion, Israel, 1993

selected awards/societies

  • Henry Ellis Warren (1894) Chair in Electrical Engineering and Computer Science, EECS, MIT, 2018
  • MICCAI Society Fellow. 2016
  • ECEDHA Diversity Award, 2014
  • Jamieson Prize for Excellence in Teaching, MIT, 2013
  • Smullin award for teaching excellence, EECS, MIT, 2011

research

Polina’s primary research interest is in developing novel techniques for biomedical image analysis and understanding. She particularly enjoys 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. She is interested in shape modeling and representation, predictive modeling, and visualization of statistical models.

Polina’s current research focuses on developing statistical analysis methods for characterization of biological processes using images as a source of information. In this domain, she is interested in modeling biological shape and function, how they relate to each other and vary across individuals.

selected publications

  • https://scholar.google.com/citations?user=4GpKQUIAAAAJ&hl=en

A full list of Professor Golland’s publications can be found on her website.

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