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 (BU) School of Public Health. I am also a Rafik B. Hariri Junior Faculty Fellow at the Rafik B. Hariri Institute for Computing and Computational Science & Engineering at 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.

My research interests include Bayesian modeling, variable selection, geometric functional data analysis, spatial statistics and applications to complex-structured biomedical data. My current research is focused on building statistical methods to address relevant questions in different disease contexts, by integrating complex-structured data (imaging, spatial-genomic, geospatial and digital 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. Sevcan Turk, Nicholas C. Wang, Omer Kitis, Shariq Mohammed, Tianwen Ma, Remy Lobo, John Kim, Sandra Camelo-Piragua, Timothy D. Johnson, Michelle M. Kim, Larry Junck, Toshio Moritani, Ashok Srinivasan, Arvind Rao, Jayapalli R.Bapuraj. Comparative study of radiologists vs machine learning in differentiating biopsy-proven pseudoprogression and true progression in diffuse gliomas. Neuroscience Informatics. 2022; 2(3). View Publication
  2. Panigrahi S, Mohammed S, Rao A, Baladandayuthapani V. Integrative Bayesian models using Post-selective inference: A case study in radiogenomics. Biometrics. 2022 Aug 16. PMID: 35973786; DOI: 10.1111/biom.13740;
     
  3. Qin A, Lima F, Bell S, Kalemkerian GP, Schneider BJ, Ramnath N, Lew M, Krishnan S, Mohammed S, Rao A, Frankel TL. Cellular engagement and interaction in the tumor microenvironment predict non-response to PD-1/PD-L1 inhibitors in metastatic non-small cell lung cancer. Sci Rep. 2022 May 31; 12(1):9054. PMID: 35641540; PMCID: PMC9156701; DOI: 10.1038/s41598-022-13236-8;
     
  4. Krishnan SN, Mohammed S, Frankel TL, Rao A. GaWRDenMap: a quantitative framework to study the local variation in cell-cell interactions in pancreatic disease subtypes. Sci Rep. 2022 03 08; 12(1):3708. PMID: 35260589; PMCID: PMC8904504; DOI: 10.1038/s41598-022-06602-z;
     
  5. Shariq Mohammed. Karthik Bharath. Sebastian Kurtek. Arvind Rao. Veerabhadran Baladandayuthapani. RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities. Annals of Applied Statistics. 2021; 15(4):1808 - 1830.
  6. Mohammed S, Ravikumar V, Warner E, Patel SH, Bakas S, Rao A, Jain R. Quantifying T2-FLAIR Mismatch Using Geographically Weighted Regression and Predicting Molecular Status in Lower-Grade Gliomas. AJNR Am J Neuroradiol. 2022 01; 43(1):33-39. PMID: 34764084; PMCID: PMC8757555; DOI: 10.3174/ajnr.A7341;
     
  7. Aritra Halder, Shariq Mohammed, Kun Chen, Dipak K. Dey. Spatial Tweedie exponential dispersion models: an application to insurance rate-making. Scandinavian Actuarial Journal. 2021; 10:1017-1036.
  8. Shariq Mohammed and Dipak K Dey. Scalable spatio-temporal Bayesian analysis of high-dimensional electroencephalography data. Canadian Journal of Statistics. 2021; 49(1):107-128.
  9. 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;
     
  10. 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;
     
Showing 10 of 17 results. Show More

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

Bar chart showing 17 publications over 5 distinct years, with a maximum of 6 publications in 2020

YearPublications
20161
20192
20206
20214
20224


2022-2025 Boston University: Rafik B. Hariri Junior Faculty Fellow
2019-2021 University of Michigan: Precision Health Scholars Award
Contact for Mentoring:

801 Massachusetts Ave
Boston MA 02118
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