Kang-Hsien Fan
I started my academic career as a staff cancer biostatistician at the Vanderbilt Center of Quantitative Sciences, Vanderbilt School of Medicine after I received two master’s degrees in biostatistics and bioinformatics in 2010. While being a cancer biostatistician, I have published more than 30 biomedical research articles, including some in top-ranked medical journals, and won the best collaborative publication award based on one of the prostate cancer research papers published in New England Journal of Medicine (2013; 31;368(5):436-445). I received my Ph.D. in Bioinformatics from the University of Georgia in August 2017, and soon after, I joined the Department of Human Genetics, University of Pittsburgh, as a Research Assistant Professor, where I am working on the genetics of Alzheimer’s disease (AD). I have analyzed AD data for genome-wide association studies and whole-genome sequencing studies. I am a statistical bioinformatician with expertise in clinical trials and high throughput data analysis, including microarray and sequencing technologies such as whole-genome/whole-exome sequencing and RNA-seq. I mentored over 10 Master’s, 5 PhD, and 3 post-doc fellows, supervising genomic research projects in biostatistics and bioinformatics with successful peer-reviewed publications. My research interests are associations between genetic variants and quantitative phenotypic traits, including disease status (GWAS), clinical measurements (QTL), RNA expression (eQTL), and transcript splicing (structure QTL).
Highlights
My Research
My research focuses on the genomic mechanisms that drive neurodegeneration in Alzheimer’s disease and related dementias (ADRD).
My Projects
Genomic analysis of the Alzheimer’s disease and related dementia (ADRD) Alzheimer Biomarkers Consortium — Down Syndrome (ABC-DS)
Our Team
Hoonee Fan