Shariq Mohammed, PhD
Assistant Professor
Boston University School of Public Health
Dept of Biostatistics

PhD, University of Connecticut
MS, University of Connecticut
MSc, Chennai Mathematical Institute

I am an Assistant Professor in the Department of Biostatistics at Boston University School of Public Health. Prior to joining BU, I was a postdoctoral research fellow in the Departments of Biostatistics, and Computational Medicine and Bioinformatics, and a Precision Health Scholar at The University of Michigan-Ann Arbor. I obtained my PhD in Statistics from University of Connecticut in 2018.

My research interests include Bayesian modeling, variable selection, geometric functional data analysis and applications to biomedical imaging data. My current research is focused on building statistical methods to address relevant questions in different disease contexts, by integrating data from multiple platforms.

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

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  1. Lee J, Wang N, Turk S, Mohammed S, Lobo R, Kim J, Liao E, Camelo-Piragua S, Kim M, Junck L, Bapuraj J, Srinivasan A, Rao A. Discriminating pseudoprogression and true progression in diffuse infiltrating glioma using multi-parametric MRI data through deep learning. Sci Rep. 2020 11 23; 10(1):20331. PMID: 33230285; PMCID: PMC7683728; DOI: 10.1038/s41598-020-77389-0;
  2. Mohammed S, Li T, Chen XD, Warner E, Shankar A, Abalem MF, Jayasundera T, Gardner TW, Rao A. Density-based classification in diabetic retinopathy through thickness of retinal layers from optical coherence tomography. Sci Rep. 2020 09 28; 10(1):15937. PMID: 32985536; PMCID: PMC7522225; DOI: 10.1038/s41598-020-72813-x;
  3. Chekouo T, Mohammed S, Rao A. A Bayesian 2D functional linear model for gray-level co-occurrence matrices in texture analysis of lower grade gliomas. Neuroimage Clin. 2020; 28:102437. PMID: 33035963; PMCID: PMC7554657; DOI: 10.1016/j.nicl.2020.102437;
  4. Ray D, Salvatore M, Bhattacharyya R, Wang L, Du J, Mohammed S, Purkayastha S, Halder A, Rix A, Barker D, Kleinsasser M, Zhou Y, Bose D, Song P, Banerjee M, Baladandayuthapani V, Ghosh P, Mukherjee B. Predictions, role of interventions and effects of a historic national lockdown in India's response to the COVID-19 pandemic: data science call to arms. Harv Data Sci Rev. 2020; 2020(Suppl 1). PMID: 32607504; PMCID: PMC7326342; DOI: 10.1162/99608f92.60e08ed5;

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 4 publications over 1 distinct years, with a maximum of 4 publications in 2020


Contact for Mentoring:

801 Massachusetts Ave
Boston MA 02118
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