People

Jayashree Kalpathy-Cramer

Jayashree Kalpathy-Cramer is an Associate Professor of Radiology at MGH/Harvard Medical School. She is an electrical engineer by training, having received her B.Tech from the Indian Institute of Technology, Bombay, India and  her PhD at Rensselaer Polytechnic Institute in Troy, NY. After working for almost a decade in the semiconductor industry, a desire to apply engineering principles and data science to healthcare put her on a path back to academia. Currently, her interests in machine learning and AI permeate her research in quantitative medical imaging. Her work spans the spectrum from theoretical algorithm development to clinical translation. She is a co-director of the Quantitative Translational Imaging in Medicine (QTIM) lab and the Center for Machine Learning at the Athinoula A. Martinos Center for Biomedical Imaging at MGH where she supervises PhD students and mentors post-doctoral fellows and research scientists.

Her lab is actively involved in the applications of AI to problems in oncology, radiology and ophthalmology. Consulting with clinical collaborators, they identify problems where current technical advances such as deep learning have the potential to impact patient care in the near term. These include disease detection, classification, risk stratification and prediction of response to therapy. In oncology, they have developed automated algorithms to quantify tumor burden, non-invasive prediction of tumor mutation status and quantitative imaging predictors of response to therapy.

Dr. Kalpathy-Cramer has authored over 100 scientific publications, holds 12 patents and has delivered numerous invited lectures and tutorials at national and international meetings. She is a Deputy Editor for the newly launched Radiology: Artificial Intelligence journal published by RSNA.