Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Kun-Hsing Yu, M.D., Ph.D.

Title
Institution
Department
Address
Profile Picture
Other Positions
Title
Institution
Department
Title
Institution
Department

Biography
Stanford University, Stanford, CAPh.D.09/2016Biomedical Informatics
Stanford University, Stanford, CAPh.D. Minor09/2016Computer Science
National Taiwan University, Taipei, TaiwanM.D.06/2011Medicine
2024
Director’s Award
2024
Dean’s Innovation Award
2023
Career Development Award
2022 - 2022
Google Research Scholar Award
2021
National Institutes of Health (NIH) Maximizing Investigators' Research Award
2020 - 2020
Blavatnik Center for Computational Biomedicine Award
2018 - 2019
Schlager Family Award for Early Stage Digital Health Innovations
2017 - 2019
Harvard Data Science Fellowship
2017 - 2017
Pacific Symposium on Biocomputing (PSB) Rigorous Secondary Data Analysis Award
2015 - 2016
Howard Hughes Medical Institute (HHMI) Fellowship
2012 - 2016
Winston Chen Stanford Graduate Fellow
2010 - 2011
Best Intern Award, National Taiwan University Hospital

Overview
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.

Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. R35GM142879 (YU, KUN-HSING) Sep 1, 2021 - Jun 30, 2026
    NIH
    Robust, Generalizable, and Fair Machine Learning Models for Biomedicine
    Role: Principal Investigator

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
Updating...
This operation might take several minutes to complete. Please do not close your browser.
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu. SPH faculty should contact Faculty Affairs at facultyaffairshsph.harvard.edu.
Yu's Networks
Click the
Explore
buttons for more information and interactive visualizations!
Concepts (201)
Explore
_
Co-Authors (46)
Explore
_
Similar People (60)
Explore
_
Same Department 
Explore
_
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.