Biography

Dr. Francis Erebholo is an accomplished academic and researcher specializing in mathematics, statistics, mathematics/statistics education. He currently serves as Chair and Associate Professor in the Department of Mathematics & Economics at Virginia State University, a role he has held since July 2024. Prior to this, Dr. Erebholo was an Associate Professor at Hampton University, where he also directed undergraduate programs in mathematics from 2017 to 2024.

Dr. Erebholo earned his Ph.D. in Mathematics from Howard University in 2015, focusing on longitudinal binary data analysis with incomplete datasets. He holds additional advanced degrees, including an M.A. in Mathematics-Collegiate Teaching from Central Michigan University and an M.Sc. in Mathematics from the University of Ilorin, Nigeria.

His research interests are diverse and impactful, spanning longitudinal data analysis, missing data methodologies, logistic regression modeling, and error analysis for numerical integration schemes in partial differential equations. Dr. Erebholo has published extensively in peer-reviewed journals and presented his findings at numerous conferences. Notable publications include studies on nonlinear Riccati equations, STEM barriers among HBCU freshmen, and interventions to improve precalculus performance.

Dr. Erebholo has been instrumental in securing significant grant funding for STEM education initiatives, including NIH-funded programs like HU-ChEM and HU-URISE that aim to enhance biomedical training pipelines and STEM retention rates at Historically Black Colleges and Universities (HBCUs). His leadership extends to mentoring students and faculty colleagues through workshops, webinars, and collaborative research projects.

Beyond academia, Dr. Erebholo is recognized for his contributions to fostering diversity in biostatistics and STEM education through workshops and mentoring programs. His dedication to advancing STEM education aligns with his commitment to empowering underrepresented groups in the sciences.

Education

• Ph.D. in Mathematics, Howard University, Washington DC.
• M.A. in Mathematics, Central Michigan University, Michigan.
• M.Sc. in Mathematics, University of Ilorin, Nigeria.
• B.Sc. in Industrial Mathematics, Ambrose Alli University, Nigeria. 

Research Interests

• Statistical Analysis, Longitudinal Data Analysis; Missing Data; Repeated Measures; Correlated Generalized Linear Models; Logistic Regression Modeling; Regressive Logistic Regression.
• Modeling Error; Analysis of Certain Numerical integration Schemes for Partial Differential Equations.
• Pedagogical content and teaching knowledge and intervention schemes for improving student engagement and retention in mathematics.

Selected Publications

1. Akinyemi, L., Erebholo, , Palamara, V., & Oluwasegun, K. (2024). A study of nonlinear riccati equation and its applications to multidimensional nonlinear evolution equations. Qual. Theory Dyn.Syst, 23(1), 296. https://doi.org/10.1007/s12346-024-01137-2 
2. Erebholo, , & Ero-Johnson., I. (2024). Students’ perceptions of barriers and opportunities for stem research and careers: Study of hbcu freshmen. Journal of Higher Education Theory and Practice, 24(7), 142–149. https://doi.org/10.33423/jhetp.v24i7.7188 
3. Palamara, V., Neal, B., Akinyemi, L., Erebholo, , & Bogale., M. (2024). Shallow-water waves through two new generalized variable coefficients in multidimensional equations. Physics of Fluids, 36(6), 365–382. https://doi.org/10.1063/5.0209917 
4. Erebholo, Francis. (2023). Does intervention improve precalculus performance among students in historically black colleges and universities? The Journal of College Student Retention: Research, Theory & Practice, 1–17, https://doi.org/10.1177/15210251231175081 
5. Erebholo, , Bezandry, P., Apprey, V., & Kwagyan., J. (2016a). A correlated binary model for ignorable missing data: Application to rheumatoid arthritis clinical data. Journal of Data Science, 14(2), 365–382. https://doi.org/10.6339/JDS.201604_14(2).0008
6. Erebholo, , Bezandry, P., Apprey, V., & Kwagyan., J. (2016b). Analysis of incomplete longitudinal binary data-a combined markov’s transition and logistic model for non-ignorable missingness. Applications and Applied Mathematics: An International Journal (AAM), 16(1), 83–96. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC5515546/ 
7. Erebholo, F.O and Adeniyi, R.B. (2015). A prior integration numerical integration scheme for certain ibvp in partial differential equations with error estimation. International Electronic Journal of Pure and Applied Mathematics, 9(4), 285-298.
8. Erebholo, F.O and Adeniyi, R.B. (2007). An error estimation of a numerical integration scheme for certain initial boundary value problems in partial differential equations. Journal of the Nigerian Mathematical Society, 26:99-109.