Note: members are ordered by the mysterious ranking algorithm of

Sitong Chen

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 Yang

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

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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.


Xiaolong Cheng

Xiaolong Cheng is a postdoctoral research fellow at Children’s National Medical Center. He is interested in developing novel computational methods and software tools for understanding biological data.
Xiaolong obtained his Ph.D. degree at the Ocean University of China and majored in Intelligent Information and Communication Systems. In the Ph.D. study phase, his research was focused on signal processing and machine learning.

Chia-Han Lee

Chia han Lee is a master student at GWU in Bioinformatic track under Biochemistry and Bioinformatics program. He is very interested in learning the applications of computational biology and single-cells RNA sequencing pipelines. Lee obtained his master degree of biochemistry and molecular biology at National Yang Ming University. He focused on the specific protein regulation and expression during bone formation.

Qing Chen

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

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.

Neerja Vashist

Neerja Vashist is a rotating Ph.D. student in the Genomics and Bioinformatics, IBS program at GWU. She is interested in understanding the effect of hormones on brain development using neural stem/progenitor cells and their differentiated daughter cells as an in vitro model.  Additionally, she wants to use the CRISPR/Cas9 system as a tool to manipulate mammalian stem cells to further understand the pathways involved in the hormonal organization of the brain. Vashist obtained her Bachelor’s degree from University of California Los Angeles in Microbiology, Immunology, and Molecular Genetics with a minor in Bioinformatics. As an undergraduate student, she focused on understanding the effect of testosterone on the transcriptome and epigenome of mouse neural stem cells.