M.S. Student, Applied Statistics (Biostatistics) · Georgia State University, Atlanta, GA, USA
My research develops statistical and biostatistical methodologies for survival analysis and lifetime data modeling, with a focus on improving inference for biomedical data arising in small-sample and complex settings. It integrates flexible probability distributions, empirical likelihood methods, Bayesian inference, and Profiled and Plug-in Residual Empirical Likelihood (PROEL) approaches for censored and time-to-event data, with applications in biomedical research, public health, and reliability studies.
I am a Master's student in Applied Statistics with a concentration in Biostatistics at Georgia State University, where I conduct research under the supervision of Prof. Yichuan Zhao. My research focuses on developing statistical and biostatistical methodologies for survival analysis and lifetime data modeling, with particular emphasis on improving inference for biomedical data arising in small-sample and complex settings.
My current research follows a five-stage methodological programme. It began with the development of the Quadratic-Transformed Exponential-Gamma (QTEG) distribution for flexible lifetime modeling, followed by the development of empirical likelihood methods for likelihood-free inference. This work subsequently led to empirical likelihood-based goodness-of-fit procedures for model validation and Bayesian methodologies for flexible lifetime models. More recently, my research has expanded to semiparametric survival analysis through the development of Profiled and Plug-in Residual Empirical Likelihood (PROEL) methods for quantile difference estimation, confidence intervals, and confidence bands under stratified Cox models.
I hold a Master of Professional Studies in Analytics (Statistical Modeling) from Northeastern University, Toronto, Canada (2025), and an M.Sc. in Statistics from Ekiti State University, Nigeria (2021). Prior to joining Georgia State University, I served as an Assistant Lecturer in the Department of Statistics at Ekiti State University, where I taught undergraduate courses and supervised more than 40 student research projects. I also hold a B.Sc. in Statistics from the same institution (2016). I am an ASA-accredited Graduate Statistician (GStat) and a Fellow of the Commonwealth Academy of Leadership and Management (FCALM), UK.
My long-term research goal is to develop innovative statistical methodologies that integrate flexible lifetime models, empirical likelihood methods, Bayesian inference, and PROEL approaches for censored and time-to-event data to address methodological challenges in biomedical and public health research.
Provides academic support to undergraduate students enrolled in College Algebra (MILE Programme). Assists with conceptual understanding, problem-solving strategies, and exam preparation in a structured learning environment.
Conducts methodological research under Prof. Yichuan Zhao on survival analysis, lifetime data modeling, empirical likelihood, goodness-of-fit testing, Bayesian inference, and PROEL-based semiparametric methods for censored biomedical data.
My current work follows a five-stage methodological program: QTEG model development, empirical likelihood inference, goodness-of-fit validation, Bayesian extension, and PROEL-based quantile difference inference for censored survival data.
Develops the Quadratic-Transformed Exponential-Gamma (QTEG) distribution as a flexible lifetime model for skewed and heavy-tailed survival data, with applications in biomedical and reliability studies.
Develops jackknife empirical likelihood and adjusted jackknife empirical likelihood methods for QTEG parameter inference and survival probabilities, targeting improved small-sample calibration.
Develops empirical likelihood-based goodness-of-fit procedures for validating flexible lifetime models, including small-sample calibration and applications to biomedical and reliability data.
Develops and evaluates Bayesian inference methods for QTEG and related lifetime models, including posterior estimation, uncertainty quantification, and prior sensitivity analysis for biomedical survival data.
Develops Profiled and Plug-in Residual Empirical Likelihood (PROEL) methods for quantile difference estimation, confidence intervals, and confidence bands under stratified Cox models.
Constructs Bayesian predictive models for six cardiovascular conditions using PyMC and MCMC, deployed as an interactive clinical decision-support application incorporating uncertainty quantification.
Launch AppA selection of publications is listed below. For a complete list, visit my Google Scholar or ResearchGate profile.
Selected media coverage of research and professional recognition.
Full academic CV including education, publications, presentations, teaching experience, and technical skills. View: Curriculum Vitae