Faculty and Staff

Qingguo Wang, Ph.D.

Chair, Department of Computer Science and Data Science
Professor of Computer Science and
Data Science

Curriculum Vitae

NIH Biosketch

Education

Ph.D., Computer Science, University of Missouri
M.S., Computer Science, University of Missouri
M.E., Computer Technology, Shanghai Jiao Tong University, China
B.E., Nuclear Technology, Chengdu University of Technology, China


Qingguo Wang joined Meharry Medical College as a professor in the School of Applied Computational Sciences in January 2021 and was promoted to chair of the Department of Computer Science and Data Science in July 2021.

His research has been in the interdisciplinary field of computer science, machine learning, computational biology and cancer genomics. He holds a Ph.D. in Computer Science, with graduate research focusing on machine learning to predict protein 3D structures. He received postdoctoral training in computational biology and cancer genomics at Vanderbilt University, where he applied next generation sequencing (NGS) to identify cancer- or drug resistance-causing variants in tumor genomes. In 2014, he joined Memorial Sloan Kettering Cancer Center, where with his expertise in computing and NGS, he contributed to several large-scale cancer studies, including The Cancer Genome Atlas (TCGA) Prostate Adenocarcinoma, which led to publications in high impact journals such as Nature and Cell.

Besides research, he is also committed to training students in data analytics and machine learning skills, in particular after joining Lipscomb University as an associate professor in 2016. He teaches both undergraduate and graduate level courses on data science. He also supervises student research. Many of the projects he developed in the classroom were published in journals and proceedings of international conferences. His excellent work was recognized with the Dean’s Award in 2019 for the College of Computing & Technology at Lipscomb University.

Research Interests

  • Machine Learning
  • Artificial Intelligence
  • Computational Biology
  • Next Generation Sequencing (NGS) data analysis and software development
  • Cancer Genomics

Research Lab

Genomics Lab