Dr. Guangrong Qin is a computational biologist with expertise in bioinformatics, statistics, machine learning, and drug discovery. Dr. Qin’s research focused on developing computational tools, algorithms, platforms to facilitate precision medicine, and drug target discovery. Dr. Qin values the collaborations with biologists, clinical doctors to better address the biological and clinical questions, and has been working on various disease types including cancer and infectious diseases. Dr. Qin has led several projects to investigate the pan-cancer features based on multiomics data, and develop platforms to facilitate the investigation of cancer study. As an investigator on numerous US-federally funded studies, including NCI-funded Cancer Therapy Discovery and Development project and NCATS funded Biomedical Data Translator project, Dr. Qin has led and developed multiple computational tools such as Function Module States Framework, and worked on transforming biomedical data into big disease–gene–drug knowledge graph. She also co-authored a chapter titled “Multiple Omics Data Integration” for the book “Systems Medicine: Integrative, Qualitative and Computational Approaches”. Dr. Qin has been invited as a reviewer for different journals, including Nature Biotechnology, Cell Reports, BMC Genomics, Frontiers in Oncology etc.
With a long-term goal of pursuing precision medicine with the understanding of disease pathology, pharmacology, Dr. Qin believes the collaboration among clinical doctors, biologist, computational biologists, and the collaboration between academia and industry are the key to promote this translational medicine field. For collaboration opportunities, welcome to contact Dr. Qin.
B.S. Bioinformatics, Huazhong University of Science and Technology
Ph.D. Drug Design, Shanghai Institute for Systems Biology, University of Chinese Academy of Sciences
Bioinformatics, Statistics, Machine Learning, Drug Discovery, Knowledge Graphs, Cancer, Acute Myeloid Leukemia