Kun-Hsing Yu, M.D.,Ph.D.
Kun-Hsing Yu, MD, Ph.D.
Instructor in Biomedical Informatics

Kun-Hsing Yu received his PhD in Biomedical Informatics and PhD Minor in Computer Science from Stanford University under the supervision of Professors Michael Snyder and Russ B. Altman. His doctoral research integrated lung cancer patients' omics (genomics, epigenomics, transcriptomics, and proteomics) profiles with quantitative histopathology patterns to predict their clinical phenotypes. He developed a fully-automated algorithm to extract thousands of features from whole-slide histopathology images, discovered the molecular mechanisms underpinning the microscopic phenotypes of tumor cells, and successfully identified previously unknown cellular morphologies associated with patient prognosis. Prior to joining Stanford, he obtained his MD from National Taiwan University and designed a bioinformatics framework to identify protein markers of colorectal cancer in Academia Sinica. Yu's current research interests include translational bioinformatics, machine learning, integrative studies on omics and medical images, biomarker discovery for complex diseases, and precision medicine. 

DBMI Courses
Omics AnalySIs System for PRecision Oncology (OASISPRO): A Web-based Omics Analysis Tool for Clinical Phenotype Prediction.
Authors: Yu KH, Fitzpatrick MR, Pappas L, Chan W, Kung J, Snyder M.
Bioinformatics
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Artificial intelligence in research.
Authors: Musib M, Wang F, Tarselli MA, Yoho R, Yu KH, Andrés RM, Greenwald NF, Pan X, Lee CH, Zhang J, Dutton-Regester K, Johnston JW, Sharafeldin IM.
Science
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Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics.
Authors: Roberts K, Boland MR, Pruinelli L, Dcruz J, Berry A, Georgsson M, Hazen R, Sarmiento RF, Backonja U, Yu KH, Jiang Y, Brennan PF.
J Am Med Inform Assoc
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HARNESSING BIG DATA FOR PRECISION MEDICINE: INFRASTRUCTURES AND APPLICATIONS.
Authors: Yu KH, Hart SN, Goldfeder R, Zhang QC, Parker SCJ, Snyder M.
Pac Symp Biocomput
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A survival guide for interdisciplinary PhD students.
Authors: Yu KH.
Nat Biotechnol
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Transcriptome Profiling of Patient-Specific Human iPSC-Cardiomyocytes Predicts Individual Drug Safety and Efficacy Responses In Vitro.
Authors: Matsa E, Burridge PW, Yu KH, Ahrens JH, Termglinchan V, Wu H, Liu C, Shukla P, Sayed N, Churko JM, Shao N, Woo NA, Chao AS, Gold JD, Karakikes I, Snyder MP, Wu JC.
Cell Stem Cell
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Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.
Authors: Yu KH, Zhang C, Berry GJ, Altman RB, Ré C, Rubin DL, Snyder M.
Nat Commun
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Predicting Ovarian Cancer Patients' Clinical Response to Platinum-Based Chemotherapy by Their Tumor Proteomic Signatures.
Authors: Yu KH, Levine DA, Zhang H, Chan DW, Zhang Z, Snyder M.
J Proteome Res
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Omics Profiling in Precision Oncology.
Authors: Yu KH, Snyder M.
Mol Cell Proteomics
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Integrated Proteogenomic Characterization of Human High-Grade Serous Ovarian Cancer.
Authors: Zhang H, Liu T, Zhang Z, Payne SH, Zhang B, McDermott JE, Zhou JY, Petyuk VA, Chen L, Ray D, Sun S, Yang F, Chen L, Wang J, Shah P, Cha SW, Aiyetan P, Woo S, Tian Y, Gritsenko MA, Clauss TR, Choi C, Monroe ME, Thomas S, Nie S, Wu C, Moore RJ, Yu KH, Tabb DL, Fenyö D, Bafna V, Wang Y, Rodriguez H, Boja ES, Hiltke T, Rivers RC, Sokoll L, Zhu H, Shih IM, Cope L, Pandey A, Zhang B, Snyder MP, Levine DA, Smith RD, Chan DW, Rodland KD.
Cell
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