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Xiaofeng joined Yale in March 2024 as an Assistant Professor focused on the fields of Radiology, Biomedical Imaging, Biomedical Informatics, and Data Science. He is also an Associate Member at the Broad Institute of MIT and Harvard. Before his tenure at Yale, he served as an Instructor at Harvard Medical School and completed post-doctoral fellowships in Radiology and Neurology at Massachusetts General Hospital and Beth Israel Deaconess Medical Center, respectively. Liu's research interests are centered on the convergence of trustworthy AI and deep learning in medical imaging and data science aimed at advancing diagnosis, prognosis, and treatment monitoring for diseases. He actively contributes to the academic community as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and the Journal of Medical Internet Research. Xiaofeng has received multiple prestigious awards including the Marr Prize shortlist and the IBM Paper Award, highlighting his contributions to the field.
Yale School of Medicine • New Haven, CT
Focus on radiology and biomedical imaging, with roles in biomedical informatics and data science.
Harvard Medical School • Boston, MA
Instructed and contributed to academic programs in the clinical and research fields.
Massachusetts General Hospital • Boston, MA
Research in radiology under supervision of leading academics.
Beth Israel Deaconess Medical Center • Boston, MA
Engaged in neurologic imaging research.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.