Jianhua Hu, PhD, MS
- Professor of Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center)
Overview
Dr. Jianhua Hu is a Professor of Biostatistics (in Medicine and at the Herbert Irving Comprehensive Cancer Center) and the Director of the Cancer Biostatistics Program at Columbia University Irving Medical Center. She earned her PhD in Biostatistics from the University of North Carolina at Chapel Hill, with a thesis on statistical development for microarray data analysis. She also holds an MS in Statistics from the National University of Singapore. Dr. Hu is a member of the New York Genome Center's Computational Cancer Genomics Steering Committee.
Dr. Hu leads the Cancer Biostatistics Program, where she oversees the recruitment of statistical analysts, postdoctoral fellows, and faculty while mentoring biostatistics graduate students. As the Director of the HICCC Biostatistics Core, she provides various statistical services to medical researchers, including clinical trial design, protocol development, grant applications, manuscript writing, and data analysis. Her research focuses on developing novel methodologies to address complex data analysis challenges in biomedical studies, aiming to improve disease diagnosis, prognosis, and treatment. This includes work on high-dimensional genomics, proteomics, imaging, disease heterogeneity modeling, and developing adaptive designs for personalized therapies. Dr. Hu's research integrates modern machine learning and deep learning techniques to extract valuable insights from complex omics data.
Dr. Hu leads the Cancer Biostatistics Program, where she oversees the recruitment of statistical analysts, postdoctoral fellows, and faculty while mentoring biostatistics graduate students. As the Director of the HICCC Biostatistics Core, she provides various statistical services to medical researchers, including clinical trial design, protocol development, grant applications, manuscript writing, and data analysis. Her research focuses on developing novel methodologies to address complex data analysis challenges in biomedical studies, aiming to improve disease diagnosis, prognosis, and treatment. This includes work on high-dimensional genomics, proteomics, imaging, disease heterogeneity modeling, and developing adaptive designs for personalized therapies. Dr. Hu's research integrates modern machine learning and deep learning techniques to extract valuable insights from complex omics data.
Academic Appointments
- Professor of Biostatistics (in Medicine and in the Herbert Irving Comprehensive Cancer Center)
Administrative Titles
- Director, Cancer Biostatistics Program
Gender
- Female
Credentials & Experience
Education & Training
- BS, East China Normal University (China)
- MS, 2000 National University of Singapore
- PhD, 2003 University of North Carolina at Chapel Hill
Research
Selected Publications
Dr. Jianhua Hu's research focus on methodology development to address unconventional data analysis challenges in biomedical studies to improve disease diagnosis, prognosis, and treatment. This includes analyzing high-dimensional genomics/proteomics, imaging, and longitudinal data, modeling disease heterogeneity, and developing innovative adaptive designs to achieve personalized treatments. Dr. Hu's research substantially involves variable selection, classification, dimension reduction, nonparametric estimation, and robust inference.