Dr. Liguo Wang was born in Jiangsu Province, China. He earned his Ph.D. degree in Bioinformatics from Beijing Institute of Genomics, Chinese Academy of Sciences. He then completed 4-year postdoctoral training (2008-2012) from Baylor College of Medicine. He is currently Associate Professor in Biomedical Informatics and Statistics in Mayo Clinic. He has a strong background in computational biology with expertise in high-dimensional, large-scale biomedical data analysis, he also has solid background in cancer genomics and epigenomics. He collaborated with many biologists/clinicians and published 47 peer-reviewed papers.
Current Research
Cancer genomics and epigenomics
Cancer immunology
Biomarker
Drug resistance
Bioinformatics
Machine learning
Interested topics
Work/life balance
Big data
Deep learning
Mechanisms of therapeutic resistance to cancer drugs
2001-2003 – Recipient, Chu Ching-wen Scholarship, Hong Kong
2003 – Recipient, State Scholarship, Ministry of Education of the People's Republic of China
2015 - Movember Foundation-PCF Challenge Award, Santa Monica, CA
2017 – Recipient, Best Poster Award, Genome variation in precision medicine 2017 (Nature Conference)
Baylor College of Medicine, Houston, TX, USA
The University of Texas, MD Anderson Cancer Center, Houston, TX, USA
Ohio State University, Columbus, OH, USA
Boston Children’s Hospital, Boston, MA, USA
Dana-Farber Cancer Center, Harvard Medical School, Boston, MA, USA
Thomas Jefferson University, Philadelphia, PA, USA
Mayo Clinic, Rochester, MN, USA
University of Minnesota Twin Cities, Minneapolis, MN, USA
University of Wisconsin-Madison, Madison, WI, USA
The Second Military Medical University, Shanghai, China
University of Toronto, Ontario, Canada
Editorships
Quality Control of RNA-seq Experiment. RNA Bioinformatics, New York:Springer
47 peer-review publications
Conference Organization
Organizing Committee, The 24th International Conference on Genome Informatics
Organizing Committee, The 25th GIW/ISCB-Asia Conference
Membership
Member, International Society for Computational Biology