معرفی
Dr. Tianzhou (Charles) Ma is an Associate Professor of Biostatistics in the Department of Epidemiology and Biostatistics at the University of Maryland. His research focuses on developing novel statistical methods and software for genetics and bioinformatics, with applications in neuroscience, cancer, and epidemiology. Key interests include meta-analysis, Bayesian analysis, machine learning, and high-dimensional variable selection.
Education:
- PhD in Biostatistics, University of Pittsburgh (2018)
- MS in Biostatistics, Yale University (2013)
- BS in Genetics and Biotechnology, University of Toronto (2010)
Research Interests: Bioinformatics, Statistical Genetics, Big Data Integration, Machine Learning, Neuroscience, and Cancer. His work emphasizes translating statistical methodologies into clinical and public health solutions.
Publications: Recent work spans brain aging studies, genetic fine-mapping, and public health interventions. His articles explore topics like white matter aging, functional connectome analysis, and pathway-guided models in transcriptomics.
Labs & Teams: Director of the Ma Lab@UMD, focused on interdisciplinary research bridging biostatistics, genomics, and neuroimaging.
