Han Yu, PhD, MBBS Han Yu, PhD, MBBS

Han Yu


Specializing In:

Probabilistic graphical models Predictive modeling Clinical research

About Han Yu


I received my medical degree from China Medical University in 2010 with a focus on oncology and PhD in Biostatistics from University at Buffalo in 2018. In addition to methodological research, I also acquired extensive experience in collaboration with clinicians, epidemiologists and biologists during my PhD study, which involves the application of novel statistical methods in a variety of research projects. With an interdisciplinary background, I am familiar with the research techniques in biomedical sciences. I am also one of the top performers in an international data science competition on proteogenomics.


Roswell Park Comprehensive Cancer Center
  • Assistant Professor of Oncology
  • Department of Biostatistics and Bioinformatics


Education and Training:

  • 2018 - PhD - Biostatistics, School of Public Health and Health Professions, State University of New York at Buffalo
  • 2016 - MA - Biostatistics, School of Public Health and Health Professions, State University of New York at Buffalo
  • 2013 – MS – Neuroscience, State University of New York at Buffalo
  • 2010 - MBBS & MS - Medicine, China Medical University, China

Professional Memberships:

  • American Statistical Association


Research Overview:

My research interest is in the development and application of novel statistical learning approaches in clinical and genomic studies, especially in areas related to precision medicine. The specific topics of my research interest include graphical models, high dimensional data analysis, variable selection, clustering analysis, survival analysis, and their applications. My current research concerns the utilization of network information to facilitate the identification of genomic characteristics associated with patients’ clinical outcomes or related phenotypes.


Full Publications list on PubMed
  • Yu H, Chapman B, Di Florio A, Eischen E, Gotz D, Jacob M, Blair RH. Bootstrapping estimates of stability for clusters, observations and model selection. Computational Statistics. 2019. 34(1):349-372. doi: 10.1007/s00180-018-0830-y
  • Clemency BM, Eggleston W, Shaw EW, Cheung M, Pokoj NS, Manka MA, Giordano DJ, Serafin L, Yu H, Lindstrom HA, Hostler D. Hospital Observation Upon Reversal (HOUR) With Naloxone: A Prospective Clinical Prediction Rule Validation Study. Acad Emerg Med. 2019 Jan;26(1):7-15. doi: 10.1111/acem.13567. Epub 2018 Dec 28. PMID: 30592101.
  • Shi H, Yu H, Bellmunt J, Leow JJ, Chen X, Guo C, Yang H, Zhang X. Comparison of health-related quality of life (HRQoL) between ileal conduit diversion and orthotopic neobladder based on validated questionnaires: a systematic review and meta-analysis. Qual Life Res. 2018 Nov;27(11):2759-2775. doi: 10.1007/s11136-018-1902-8. Epub 2018 Jun 20. PMID: 29926345.
  • Yu H, Hageman Blair R. A framework for attribute-based community detection with applications to integrative functional genomics. Pac Symp Biocomput. 2016;21:69-80. PMID: 26776174.
  • Yu H, Xin Y. Down-regulated expressions of PPARγ and its coactivator PGC-1 are related to gastric carcinogenesis and Lauren's classification in gastric carcinoma. Chin J Cancer Res. 2013 Dec;25(6):704-14. doi: 10.3978/j.issn.1000-9604.2013.11.11. PMID: 24385698; PMCID: PMC3872550.

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