Kirti Magudia, MD, Ph.D. is finishing her radiology training at the University of California, San Francisco as a T32 research fellow in the Biomedical Imaging for Clinical Scientists Program followed by a clinical fellowship in abdominal imaging and ultrasound. Her research centers on high-level applications of machine learning in radiology, including CT-based body composition analysis and prostate MR, which was facilitated by 7 dedicated months at the MGH/BWH Center for Clinical Data Science. Dr. Magudia was the founding resident chair of the Brigham and Women’s Hospital Women in the Radiology Program and has extensively advocated for family-friendly trainee policies. She is a graduate of the Tri-institutional MD/PhD program of Weill Cornell, Sloan-Kettering, and Rockefeller University, where she completed her Ph.D. in cell and cancer biology in the laboratory of Alan Hall developing a novel 3D cell culture model of colon tumorigenesis.
TOPICS & EXPERTISE:
• Machine Learning: Essential aspects for the clinical radiologist
• Women in Radiology: Topics range from how to form a sustainable departmental group to mentoring and unconscious bias
• Abdominal Imaging and Ultrasound
• Interactive and dynamic Image Bingo case presentation to radiology trainees and medical students that works well with all years of trainees