Paul Atandoh

Dr. Paul Atandoh serves as an Assistant Professor of Statistics within the College of Liberal Arts and Sciences at Mercer University, specializing in statistics and actuarial science applications across health and computational domains.

His educational background includes:

• Ph.D. in Statistics from Western Michigan University
• M.A. in Actuarial Science from Ball State University
• M.Sc. in Mathematical Science from the African Institute for Mathematical Sciences
• B.Sc. in Actuarial Science from the University for Development Studies

Dr. Atandoh's research program integrates advanced statistical methodologies with real-world applications, particularly in natural language processing and health analytics. His work on statistical analysis of network data employs variational inference and machine learning techniques to address challenges in document clustering and sentiment analysis. In health research, he investigates critical public health issues including hypertension-depression comorbidity, prenatal mental health disparities, and cancer treatment inequities using large-scale survey data and population registries.

Analysis of his 2021-2024 publications reveals a dual research trajectory: computational statistics innovations (deep learning architectures for text analysis, stochastic blockmodels for document clustering) and epidemiological investigations (health disparities by citizenship status, access to care impacts). His technical contributions frequently combine CNNs, BiLSTMs, and word embedding techniques with statistical modeling, while his health studies leverage complex survey methodologies to examine social determinants of health outcomes in US populations.

Information regarding Dr. Atandoh's current student advising responsibilities and active grant funding is not specified in available materials.