Shariq Mohammed, PhD

 Shariq Mohammed is an Assistant Professor of Biostatistics at the School of Public Health. Mohammed builds statistical models and computational tools that turn high‑dimensional, complex‑structured data into clinically useful insight. He analyzes complex biomedical data—digital neuropsychological tests, spatial omics and imaging, and geospatial and longitudinal data—to create interpretable biomarkers and predictive models. He links Bayesian modeling, spatial statistics, geometric/functional data analysis, and variable selection to uncover hidden patterns in complex data and build robust statistical and machine‑learning models. His work spans aging and neurodegenerative research, cancer biology, and public health. His research aims to develop interpretable features, reliable prediction models, and biological explanations that support better decisions in patient and public health.

Prior to joining BU, Mohammed was a postdoctoral research fellow in Biostatistics and in Computational Medicine & Bioinformatics at the University of Michigan–Ann Arbor, and a Precision Health Scholar. He received my Ph.D. in Statistics from the University of Connecticut.

Research Interests: Computing & Data Sciences, including High-Performance Scientific Computing, Modeling; and Simulation, Machine Learning and Artificial Intelligence.

Application Domains:

• Digital Health and Rehabilitation Sciences
• Biostatistics and Public Health
• Computational Medicine, Bioinformatics, and Genomics
• Computational Neuro, Brain, and Cognitive Sciences
• Computational Geo/Environmental Sciences