Research

Research Topics

  • Statistical methods for detecting differential DNA methylation
  • Differential expression analysis of microarray and next generation sequencing data 
  • Modeling sleep in the fruit fly, Drosophila melanogaster
  • Modeling heterogeneity in traumatic brain injury

Publications

Google Scholar Profile

*Please email me if you would like a copy of any of my papers.

Book

  • Al-Jabery KK, Obafemi-Ajayi T, Olbricht GR, and Wunsch DC. (2019) Computational Learning Approaches to Data Analytics in Biomedical Applications. Academic Press (Elsevier)

Students

Prospective or current students:  Feel free to email me if you are interested in talking about research or about graduate studies in statistics in our department.

Completed Ph.D. Students

  1. M. Milad (2017).  “A functional data analytic approach for region level differential DNA methylation detection”.
  2. Luyang Wang (2019).  “Novel statistical modeling of sleep patterns in Drosophila melanogaster”.
  3. Tarek Bennaser (2020). “Fuzzy logistic regression for detecting differential DNA regions”.
  4. Yuqing Su (2021). “Integrating SNP data and imputation methods into the DNA methylation analysis framework”.
  5. Daniel Alhassan (2023). “Advances in differentially methylated region detection and cure survival models”. (Co-advised with Dr. Akim Adekpedjou)

Completed M.S. Thesis Students

  1. Stephanie Berhorst. (2013).  “Statistical analysis of microarray data in a sleep deprivation study”.
  2. Luyang Wang (2014).  “Statistical analysis of sleep patterns in Drosophila melanogaster”.
  3. Luke Settles (2017).  “Family-based association studies of autism in boys via facial-feature clusters”.
  4. Jesse Marks (2017).  “A review of random matrix theory with an application to biological data”.
  5. Arnold Harder (2017).  “Comparing region level testing methods for differential DNA methylation analysis”.
  6. Sujit Subhash (2020). “The application of machine learning models in the concussion diagnosis process”.
  7. Caroline Schott (2023). “The application of statistical modeling to identify genetic associations with mild traumatic brain injury outcomes.”
  8. Dakota Shields (2023). “Meta-analysis of mesenchymal stem cell expression microarray data from obese and non-obese patients”.

Undergraduate Students