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Jeanne Shen is an Associate Professor in the Department of Pathology at Stanford University, specializing in Anatomic Clinical Pathology with a focus on Gastrointestinal and Hepatic Pathology as well as Pancreatobiliary Pathology. With a considerable background in artificial intelligence and digital computational pathology, she is involved in various prestigious clinical practice guidelines and panels, particularly related to oncology and gastrointestinal diseases. Shen completed her medical education at Washington University in St. Louis, where she also pursued several scholarships recognizing her academic excellence. Furthering her career, she undertook fellowship training at Brigham and Women’s Hospital in Harvard Medical School, enhancing her expertise in gastrointestinal hepatopancreatobiliary pathology. She has received numerous awards including the Biodesign Faculty Fellowship and the Cancer Innovation Award from Stanford. As an active member of professional organizations such as the National Comprehensive Cancer Network and the United States Canadian Academy of Pathology, she contributes to advancing clinical practices in pathology. Shen’s current research interests include gastrointestinal and pancreatobiliary pathology with a strong emphasis on pancreatic neoplasia and inflammatory bowel disease, focusing on the application of machine learning techniques to improve digital pathology. Her commitment to education is evident in her mentorship roles and course offerings.
Stanford University • Palo Alto, CA
Associate Professor in the Department of Pathology, focusing on clinical and educational research.
The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.