Shariq Mohammed | Profiles RNS

Shariq Mohammed, PhD

Assistant Professor

Boston University School of Public Health

Biostatistics

PhD, University of Connecticut
MS, University of Connecticut
MSc, Chennai Mathematical Institute
BA, Indian Statistical Institute

Websites

	Personal Webpage
	LinkedIn
	GitHub

ORCID : 0000-0002-3107-2969

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.

BU Research

Removing batch effects in high-throughput biomedical studies
09/27/2023 - 08/31/2027 (Multi-PI)
PI: Shariq Mohammed, PhD
Rutgers, The State University of New Jersey NIH NIGMS
2R01GM127430-06A1

Title

Yr	Title	Project-Sub Proj	Pubs

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.

iCite Analysis Copy PMIDs To Clipboard

Abhi Jain, Michael LaValley, Kimberly Dukes, Kevin Lane, Michael Winter, Keith R. Spangler, Nina Cesare, Biqi Wang, Michael Rickles & Shariq Mohammed . Modeling health and well-being measures using ZIP code spatial neighborhood patterns. Scientific Reports. 2024; 9180(14). View Publication

Jain A, LaValley M, Dukes K, Lane K, Winter M, Spangler KR, Cesare N, Wang B, Rickles M, Mohammed S. Modeling health and well-being measures using ZIP code spatial neighborhood patterns. Sci Rep. 2024 Apr 22; 14(1):9180.View Related Profiles.

Wang, Biqi
Spangler, Keith
Lane, Kevin
Dukes, Kimberly Ann
LaValley, Michael
Cesare, Nina
Mohammed, Shariq

PMID: 38649687; PMCID: PMC11035567; DOI: 10.1038/s41598-024-58157-w;

Song JJ, Stafford RA, Pohlmann JE, Kim ISY, Cheekati M, Dennison S, Brush B, Chatzidakis S, Huang Q, Smirnakis SM, Gilmore EJ, Mohammed S, Abdalkader M, Benjamin EJ, Dupuis J, Greer DM, Ong CJ. Later Midline Shift Is Associated with Better Outcomes after Large Middle Cerebral Artery Stroke. Res Sq. 2024 Apr 18.View Related Profiles.

Ong, Charlene
Greer, David
Benjamin, Emelia
Dupuis, Josee
Abdalkader, Mohamad
Mohammed, Shariq

PMID: 38699310; PMCID: PMC11065061; DOI: 10.21203/rs.3.rs-4189278/v1;

Thierry Chekouo, Francesco C. Stingo, Shariq Mohammed, Arvind Rao, Veerabhadran Baladandayuthapani . A Bayesian group selection with compositional responses for analysis of radiologic tumor proportions and their genomic determinants. Annals of Applied Statistics. 2023; 4(17):3013-3034. View Publication

Mohammed S, Kurtek S, Bharath K, Rao A, Baladandayuthapani V. Tumor radiogenomics in gliomas with Bayesian layered variable selection. Med Image Anal. 2023 Dec; 90:102964. PMID: 37797481; PMCID: PMC10653647; DOI: 10.1016/j.media.2023.102964;

Romano MF, Zhou X, Balachandra AR, Jadick MF, Qiu S, Nijhawan DA, Joshi PS, Mohammad S, Lee PH, Smith MJ, Paul AB, Mian AZ, Small JE, Chin SP, Au R, Kolachalama VB. Deep learning for risk-based stratification of cognitively impaired individuals. iScience. 2023 Sep 15; 26(9):107522.View Related Profiles.

Mian, Asim
Romano, Michael
Au, Rhoda
Mohammed, Shariq
Kolachalama, Vijaya

PMID: 37646016; PMCID: PMC10460987; DOI: 10.1016/j.isci.2023.107522;

Warner E, Lee J, Krishnan S, Wang N, Mohammed S, Srinivasan A, Bapuraj J, Rao A. Low-parameter supervised learning models can discriminate pseudoprogression and true progression in non-perfusion-based MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul; 2023:1-4. PMID: 38083692

Halder, A., Mohammed, S., Dey, D.K. Bayesian variable selection in double generalized linear Tweedie spatial process models. New England Journal of Statistics and Data Science. 2023; 2(1):187-199. View Publication
Halder, A., Mohammed, S., Chen, K. and Dey D.K. 2022 Proceedings of International E-Conference on Mathematical and Statistical Sciences: A Selçuk Meeting. Spatial risk estimation in Tweedie double generalized linear models. 2022; 62-91. View Publication
Bhattachayya, R., Banerjee, S., Mohammed, S. and Baladandayuthapani, V. Spatial network-based modeling of COVID-19 dynamics: Early pandemic spread in India. Journal of the Indian Statistical Association. 2022.

Showing 10 of 27 results. Show More

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

Panigrahi S, Mohammed S, Rao A, Baladandayuthapani V. Integrative Bayesian models using Post-selective inference: A case study in radiogenomics. Biometrics. 2023 Sep; 79(3):1801-1813. PMID: 35973786; PMCID: PMC9931934; DOI: 10.1111/biom.13740;

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;

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;

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.

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;

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.
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.

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;

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;

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;

Shariq Mohammed, Dipak K Dey, Yuping Zhang. Classification of high-dimensional electroencephalography data with location selection using structured spike-and-slab prior. Statistical Analysis and Data Mining: The ASA Data Science Journal. 2020; 13(5):465-481.

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;

James Matuk, Shariq Mohammed, Sebastian Kurtek, Karthik Bharath. Handbook of Variational Methods for Nonlinear Geometric Data; Edited by Philipp Grohs, Martin Holler, Andreas Weinmann. Biomedical applications of geometric functional data analysis. Cham: Springer International Publishing AG. 2020; 675-701. View Publication
Shariq Mohammed and Dipak K Dey. Assessing Malaria using Neutral Zone Classifiers with Mixture Discriminant Analysis on 2D Images of Red Blood Cells. Journal of Biostatistics and Epidemiology. 2019; 5(1):1-11. View Publication
Shariq Mohammed, Dipak K Dey, Yuping Zhang. Bayesian variable selection using spike-and-slab priors with application to high dimensional electroencephalography data by local modelling. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2019; 68(5):1305-1326.
Sanjay P Bhat, M Uday Kumar, Shariq Mohammed. 2016 Indian Control Conference (ICC). A dynamical systems approach to systemic risk in a financial network. Institute of Electrical and Electronics Engineers. 2016; 377-384.

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

Bar chart showing 27 publications over 7 distinct years, with a maximum of 6 publications in 2020 and 2022