Michael Sekula

Michael Sekula is an Assistant Professor in the Department of Bioinformatics and Biostatistics at the University of Louisville's School of Public Health and Information Sciences. He joined the department in 2020. His research focuses on Bayesian inference, genomics, and statistical computing, particularly developing methodologies for analyzing single-cell RNA sequencing data.

• Education:
• Ph.D. in Biostatistics (2020), University of Louisville
• M.S. in Biostatistics (2015), University of Louisville
• B.S. in Mathematics Education (2010), Saginaw Valley State University

His work emphasizes bioinformatics applications, including gene co-expression network construction and differential network analysis using Bayesian approaches. He has contributed to open-source tools like the optCluster R package for clustering algorithm selection.

Publications highlight advancements in single-cell data analysis and genomic methodologies, reflecting his expertise in integrating statistical theory with computational biology.