MIR / Our People / Shinjini Kundu

Shinjini Kundu, MD, PhD

Assistant Professor of Radiology

Clinical Expertise:
Neuroradiology
Research Centers:
Computational Imaging Research Center
Lab:
Kundu Lab
Shinjini Kundu, MD, PhD, is an assistant professor of radiology, neuroradiologist and a principal investigator in the Computational Imaging Research Center for WashU Medicine Mallinckrodt Institute of Radiology. In her work leading the Medical Artificial Intelligence Lab, she explores the intersection of artificial intelligence and medical imaging, with a focus on developing novel computational methods to uncover hidden patterns in medical data. Through rigorous, data-driven work, she aims to advance understanding of disease mechanisms and expand the scientific foundations of radiological research.

Clinical Interests

Diagnostic neuroradiology

Research Interests

Artificial intelligence, machine learning, bioinformatics, computer vision, image processing, neuroscience

Link to Publications

View all publications

Education History

Fellowship

Neuroradiology, Johns Hopkins University

Residency

Diagnostic Radiology, Johns Hopkins University

Medical Degree

University of Pittsburgh School of Medicine

Doctorate

Carnegie Mellon University

Graduate

Stanford University

Undergraduate

Stanford University

Associations

Chair, Informatics Policy Committee, Radiological Society of North America
AI Governance Alliance, World Economic Forum

Awards

2024 Radiology Research Award, Johns Hopkins University
2023 Young Global Leader, World Economic Forum
2022 Riva and Albert B. Shackman, MD, FACR Research Award, Johns Hopkins Department of Radiology and Radiological Science
2019 Healthcare 30 Under 30, Forbes
2018 Innovators Under 35, MIT Technology Review
2018 University/Postsecondary Student Award, Carnegie Science Center
2017 Drs. S. Sutton Hamilton Medical Scientist Training Program Scholar Award, University of Pittsburgh School of Medicine
2017 Global Shaper, World Economic Forum
2017 NRI of the Year Award in Academics, Times Now Global
2017 Up-and-Coming Researchers, Medscape
2016, 2017 Trainee Research Prize, Radiological Society of North America
2016 40 Under 40, Pittsburgh Magazine

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