Polina Golland holds the distinguished position of the Sunlin and Priscilla Chou Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). Renowned for her contributions to AI and biomarker research, her expertise notably centers around innovative methodologies for biomedical image analysis. With a focus on geometric principles and the integration of statistical models, she has excelled in enhancing the precision of image-driven inference. Professor Golland's work is notably dedicated to unraveling the intricacies of biological processes through advanced image analysis techniques, particularly in establishing the intricate connections between shape, function, and individual variabilities. Among her endeavors, she is involved in pioneering research on the development of a software solution for the visualization of brain structures, biomarkers, and associated pathological processes.