About Keyan Zhao
A statistical geneticist and computational biologist, Dr. Keyan Zhao is continuing his post-doc training at the University of California, Los Angeles (UCLA), Department of Microbiology. Trained in next generation sequencing, Dr. Zhao focuses on immunology and genetics. His research has involved creating methods to investigate the transcriptome of the human placenta and participating in an RNA-seq.-based gene expression study into pancreatic and prostate cancer. He also lead a project to develop GLiMMPS, a superior way to analyze sQTL (splicing quantitative trait loci).
To prepare for his career, Dr. Zhao attended the University of Science and Technology of China and obtained a bachelor of science in biology. Relocating to the United States, he enrolled at the University of Southern California. After receiving a master of science in statistics, Dr. Keyan Zhao went on to earn a doctor of philosophy (PhD) in computational biology and bioinformatics. While acquiring his PhD, he developed spatial clustering fine mapping method candidate gene association studies in Arabidopsis, carried out the first genome-wide association study in Arabidopsis. He performed his post-doc studies at Cornell University and Stanford University right after graduation.
To prepare for his career, Dr. Zhao attended the University of Science and Technology of China and obtained a bachelor of science in biology. Relocating to the United States, he enrolled at the University of Southern California. After receiving a master of science in statistics, Dr. Keyan Zhao went on to earn a doctor of philosophy (PhD) in computational biology and bioinformatics. While acquiring his PhD, he developed spatial clustering fine mapping method candidate gene association studies in Arabidopsis, carried out the first genome-wide association study in Arabidopsis. He performed his post-doc studies at Cornell University and Stanford University right after graduation.
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