Note: members are ordered by the mysterious ranking algorithm of wordpress.com.
Sitong Chen is a master student at GWU and majors in Bioinformatics. She is very excited to learn about computational biology and use different software and algorithms to solve biological problems.
Sitong obtained her bachelor degree in China. In her undergraduate, she focused on the antibacterial activity of Quantum Dots and salt-tolerant microorganism.
Lin is a GWU master student in bioinformatics track under the Department of Biochemistry & Molecular Medicine. He is always ready for absorbing and integrating cutting-edge knowledge both in technology and research.
Lin obtained his bachelor degree of biological science at China Agricultural University. During college, he focused on analyzing the function of genes associated with Nitrogen-fixation.
Wei Li: Principal Investigator
As a computational biologist with a background in computer science, Wei is always fascinated by the exciting opportunities in both areas of computation and biology. His past research has focused on developing analysis algorithms on functional genomics, especially for RNA-seq and CRISPR-Cas9 screens.
Wei received his postdoc training in Dr. X. Shirley Liu lab at Dana-Farber Cancer Institute and Harvard School of Public Health. He obtained his Ph.D. in computer science at University of California, Riverside (mentor: Dr. Tao Jiang), followed by his bachelor and master degrees of computer science and technology at Tsinghua University, Beijing, China.
Qing Chen is a research technician with an M.D background. She is always interested in linking the genome function with physiology and diseases. She wants to use state-of-art technology especially CRISPR and NGS to explore these questions. Qing finished her medical study in Jining Medical School and then she focused on immunology and achieved her Master’s degree in Shanghai Jiao Tong University School of Medicine. She also worked for 3 years at Cheng Li’s lab at Peking University.
Bicna Song is a postdoctoral research fellow at Children’s National Medical Center. She is interested in the development of computational algorithms for analyzing large-scale sequencing data to identify predictive biomarker or drug target in cancer. Bicna obtained her Ph.D. degree of bioinformatics from the University of Science and Technology in South Korea. She focused on analyzing cancer genomics dataset for identifying and understanding the molecular drivers of differential response to targeted therapy.