JG21

Jemal Gishe , Ph.D .

Associate Professor

Contact Information

Office:  Avon Williams Campus D-405    
email: jgishe@tnstate.edu
Phone:  (615) 963-7046

 

Education

2014 – ABD, University of South Florida

2006 – Ph.D., University of South Florida

2001 –  Advanced Diploma, ICTP (Italy)

2000 –  M.Sc., Addis Ababa University

1995 –  B.Sc., Addis Ababa University

 Area of Expertise

Biostatistics, Epidemiology, Research Methods, Mathematics

Courses Taught

Graduate Courses:

Principles of Epidemiology, Biostatistics I/II, Real Analysis, Advanced Statistical Analysis II, Advanced Epidemiologic Research Methods

Undergraduate Courses:

Intro to Biostatistics, Intro to Probability Theory, Intro to Epidemiology, Research Methods, Health Economics, Health Promotion and Disease Prevention, Intro to Real Analysis, Complex Variable, Advanced Engineering Mathematics, Differential Equations, Calculus I, II and III

Research Interests

Dr. Gishe has extensive expertise and experience in the application of advanced statistical methodologies, including categorical data analysis, survival analysis, longitudinal data analysis, exploratory and confirmatory factor analysis, and generalized linear mixed models. His collaborative work spans diverse fields such as public health, agriculture, sports science, and nutrition. He also maintains a strong research interest in health disparities, prostate cancer, obesity, and community-driven health interventions.

As a biostatistician, Dr. Gishe has contributed to clinical trial research through his work with Momentum Research Inc., a Contract Research Organization based in Durham, North Carolina. He currently serves as a Co-Principal Investigator on an NIH-funded grant focused on improving health outcomes among African American Communities.

Dr. Gishe has authored and co-authored numerous peer-reviewed journal articles, technical reports, and book chapters. He actively consults on study design, statistical methodologies, and data analysis. His statistical computing proficiency includes R, SAS, and SPSS.

 

Curriculum Vitae