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Michael Sekula, PhD
Bioinformatics and Biostatistics
Assistant Professor
Room 137, 485 E. Gray St.
Louisville, KY 40202
Phone: (502) 852-3444
Fax: (502) 852-3294
Background
I joined the Department of Bioinformatics & Biostatistics at UofL in the summer of 2020 at the rank of Assistant Professor.
-- Ph.D. (2020) Biostatistics, University of Louisville
-- M.S. (2015) Biostatistics, University of Louisville
-- B.S. (2010) Mathematics Education, Saginaw Valley State University
Research Interests
My primary research interests include bioinformatics, Bayesian inference, genomics, and statistical computing. Currently, I am involved in developing and implementing Bayesian methodology to analyze high-dimensional single-cell RNA sequencing data.
Publications
Sekula, M., Gaskins, J., and Datta, S. (2022). Single-cell differential network analysis with sparse Bayesian factor models. Frontiers in Genetics, 12, 810816.
Sekula, M., Gaskins, J., and Datta, S. (2020). A sparse Bayesian factor model for the construction of gene co-expression networks from single-cell RNA sequencing count data. BMC Bioinformatics, 21, 361.
Sekula, M., Gaskins, J., and Datta, S. (2019). Detection of differentially expressed genes in discrete single-cell RNA sequencing data using a hurdle model with correlated random effects. Biometrics, 75(4), 1051-1062.
Sekula, M., Datta, S., and Datta, S. (2017). optCluster: An R Package for Determining the Optimal Clustering Algorithm. Bioinformation, 13(3), 101.
