Sylvester Comprehensive Cancer Center

Bioinformatics Staff

Meet the Team

Zhen Gao, PhD, Associate Scientist

Dr. Gao has a PhD in Cancer Biology from the University of Iowa, an MS in Computer Information System from Boston University, as well as BS in Pharmaceutics from Nanjing University located in China. He has worked at Case Western Reserve University, Nevada Cancer Institute, and Washington University in St. Louis, MO. He joined the Sylvester Comprehensive Cancer Center, Biostatistics and Bioinformatics Core in 2016. Dr. Gao is interested in developing novel data mining methods, new algorithm for drug repositioning, and data analysis tools for genomics and epigenomics research.

Xiaodian (Shirley) Sun, Associate Scientist

Xiaodian has a PhD in bioinformatics from Fudan University, and a MS in Automatic Control from Beijing Institute of Technology. She has worked at University of Rochester, and University of Cincinnati. She joined SCCC biostatistics and bioinformatics core in May 31, 2016. Xiaodian is interested in developing statistical methods to integrate multiple types of data in the context of pathways to reveal the mechanism of disease.

Aimin Yan, PhD, Associate Scientist

Aimin has a PhD in bioinformatics and Computational Biology, a PhD minor in computer science, and a MS in statistics from Iowa State University. He has worked at Cornell University, Fred Hutchinson Cancer Research Center, AVEO Pharmaceuticals, Dana-Farber Cancer Institute and Iowa State University. He joined SCCC biostatistics and bioinformatics core in November 2015. Aimin is interested in developing statistical methods and bioinformatics tools for deep sequencing data processing and analysis, genomic prediction, genetic association, biomarker discovery and structure biology.

Yuguang James Ban, PhD, Assistant Scientist

Dr. Ban joined the Biostatistics and Bioinformatics Core at Sylvester Comprehensive Cancer Center as a bioinformatician in 2015. During his postdoctoral work at Department of Statistics in Northwestern University, he developed a statistical method for analyzing high-dimensional metagenomic data. He earned his Ph.D. degree in computational science and statistics from South Dakota State University in 2013. He is interested in developing innovative computational methods and bioinformatics tools for analyzing complex genomic data.

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