Kun-Hsing Yu, MD, PhD

Kun-Hsing Yu, MD, PhD

Associate Professor of Biomedical Informatics, Harvard Medical School
Assistant Professor of Pathology, Brigham and Women's Hospital
Instructor in Epidemiology, Harvard T.H. Chan School of Public Health
Yu Lab

Kun-Hsing "Kun" Yu received his PhD in Biomedical Informatics and PhD Minor in Computer Science from Stanford University, and he obtained his MD from National Taiwan University, Taiwan. His research focuses on the integration of quantitative histopathology image patterns with multi-omics (genomics, epigenomics, transcriptomics, and proteomics) profiles to advance cancer research and clinical practice. His team has developed fully-automated algorithms to analyze whole-slide histopathology images at scale, discovered the molecular mechanisms underpinning the microscopic phenotypes of tumor cells, and identified novel cellular morphologies for patient prognosis. His research interests include quantitative pathology, machine learning, and translational bioinformatics.

DBMI Research Areas
DBMI Courses
Current Postdoctoral Fellowship Opportunities
Temporal bias in case-control design: preventing reliable predictions of the future.
Authors: Yuan W, Beaulieu-Jones BK, Yu KH, Lipnick SL, Palmer N, Loscalzo J, Cai T, Kohane IS.
Nat Commun
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Quantifying the Impacts of Pre- and Post-Conception TSH Levels on Birth Outcomes: An Examination of Different Machine Learning Models.
Authors: Sun Y, Zheng W, Zhang L, Zhao H, Li X, Zhang C, Ma W, Tian D, Yu KH, Xiao S, Jin L, Hua J.
Front Endocrinol (Lausanne)
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Prolonged Auditory Brainstem Response in Universal Hearing Screening of Newborns with Autism Spectrum Disorder.
Authors: Miron O, Delgado RE, Delgado CF, Simpson EA, Yu KH, Gutierrez A, Zeng G, Gerstenberger JN, Kohane IS.
Autism Res
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Deep decision support for lymph node metastatic risk evaluation.
Authors: Marostica E, Yu KH.
EBioMedicine
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Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks.
Authors: Yu KH, Hu V, Wang F, Matulonis UA, Mutter GL, Golden JA, Kohane IS.
BMC Med
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Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation.
Authors: Yu KH, Lee TM, Yen MH, Kou SC, Rosen B, Chiang JH, Kohane IS.
J Med Internet Res
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Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
Authors: Yu KH, Wang F, Berry GJ, Ré C, Altman RB, Snyder M, Kohane IS.
J Am Med Inform Assoc
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Examining the Use of Real-World Evidence in the Regulatory Process.
Authors: Beaulieu-Jones BK, Finlayson SG, Yuan W, Altman RB, Kohane IS, Prasad V, Yu KH.
Clin Pharmacol Ther
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Autoimmune Effects of Lung Cancer Immunotherapy Revealed by Data-Driven Analysis on a Nationwide Cohort.
Authors: Yang S, Yu KH, Palmer N, Fox K, Kou SC, Kohane IS.
Clin Pharmacol Ther
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Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex.
Authors: Sánchez Fernández I, Yang E, Calvachi P, Amengual-Gual M, Wu JY, Krueger D, Northrup H, Bebin ME, Sahin M, Yu KH, Peters JM.
PLoS One
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