Shariq Mohammed, PhD

 Shariq Mohammed is an Assistant Professor of Biostatistics at the School of Public Health and selected as a Hariri Institute Junior Faculty Fellow (2022-2025.) Mohammed builds statistical models and computational tools that turn high‑dimensional, complex‑structured data into clinically useful insight.

His group develops methods at the interface of hierarchical Bayesian modeling, variable selection, functional & geometric data analysis, spatial statistics, network models. He works with digital, spatial‑omic, geospatial, and imaging data, with applications in neurodegenerative disease (with a focus on dementia and Alzheimer’s disease) and oncology. 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: Bayesian modeling, variable selection, geometric functional data analysis, spatial statistics and applications to complex-structured biomedical data. 

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