Faculty and Staff Profiles

Amr Mohamed earned his Ph.D. in Statistics under the supervision of Dr. Kevin H. Lee at Western Michigan University, where he also completed a certificate in Biostatistics. He is currently an Assistant Professor of Teaching in the College of Health Sciences at the University of Memphis.

His research focuses on applied statistics with applications in health sciences. His interests include high-dimensional data analysis, statistical machine learning, data mining, variable selection, classification, and clustering. His applied work primarily addresses biostatistical problems in health and medical research.

If you are an undergraduate student interested in an internship in biostatistics and data analytics, or a graduate student looking for collaboration or mentorship in biostatistics and data analytics, feel free to reach out. I am always happy to discuss opportunities to work with data, build skills in statistical methods, and explore research projects together.

• Ph.D. in Statistics - Western Michigan University - 2023
• Graduate Certificate in Biostatistics - Western Michigan University - 2023
• MSc. in Statistics and Data Analysis - University of Essex, UK - 2015
• BSc. in Statistics - Benha University, Egypt - 2013

• HMSE 7100/8100 - Data analytics in HS - The University of Memphis
• HMSE 7200/8200 - Health Data Science - The University of Memphis
• HPRO 6400 - Statistics for Health Sciences - The University of Memphis
• HLSC 4400 - Statistics for Health Sciences - The University of Memphis
• STAT 2600 - Data Analysis Using R - Western Michigan University
• STAT 3660 - Data Analysis for Biosciences - Western Michigan University
• STAT 2160 - Business Statistics - Western Michigan University
• MAC2205 - Application for Statistical Methods - Miami Regional University
• DSC 2008 - Business Analytics - National University of Singapore
• Mathematics for Economists - American University in Cairo

• BS. in Health Sciences - Internship - Sydney Ward - 2025
• Ph.D. Applied Physiology and Neuromechanics - (Committee member) - Siena Senatore - 2025

• Comparison of the Beverage Hydration Index of different solutions - Nestle USA, Inc. (Investigator) - $116,680 - 01/01/2024 - 12/31/2024
• The impact of a novel probiotic on gut health, immune function, and metabolic parameters in men and women - Vidya Herbs (Investigator) - $241,370 - 01/01/2024 - 12/31/2024
• Beverage Hydration Index: Assessment of Four Rehydration Solutions - Liquid IV (Investigator) - $168,123 - 10/01/2023 - 5/31/2024

• Western Michigan University - Acadmic Integrity Committe - 2021-2023
• JMIR Medical Informatics Journal - Reviewer -  
• Book reviewer, Cognella Academic Publishing - Statistics for Health Professionals (Leah Grebner, first edition) -  

• Mohamed, A., Gulay, B.K., Cowan, P.A., & Velasquez-Mieyer, P.A. (2025)  Relative BMI: A Decision-Tree Model for Classifying Adolescent Obesity Severity (Under review)

• Mohamed, A., Ward, S., & Gulay, B.K. (2025) Beyond Sleep Duration: The Impact of Perceived Restedness on Mental Health Among Emerging Adults in College (Under review)

• Mohamed A. & Lee K. H. Gradient boosting with knockoff filters: a biostatistical approach to variable selection. BMC Bioinformatics (2025)

• Pence J, Davis A, Fracchia A, Mohamed A, Bloomer RJ (2024) Impact of a Topical Cosmetic Product Intended to Promote the Health and Appearance of Women’s Hair. J Altern Complement Integr Med 10: 514.

• Mohamed, A.  (2017). Comparative study of four supervised machine learning techniques for classification. International Journal of Applied Sciecne and Technology, 7(2), 1-15.

• Mohamed, A.*, Gulay, B.K., Cowan, P.A., & Velasquez-Mieyer, P.A. Relative BMI: A machine-driven model for adolescent obesity severity classification. Oral presentation at the 9th International Conference on Obesity and Chronic Diseases, Boston, MA, November 5-7, 2025.

• Research Interests: Applied Statistics, Biostatistics, Health Sciences, Machine Learning and Variable Selection.

• Softwares: SPSS, R, Python, SAS, WEKA, and LaTeX