Artificial Intelligence and Health Data Science
Predictive modeling, clinical decision support, public health surveillance, disease forecasting, and healthcare risk analytics.
About
I am currently a PhD student in Biostatistics at Tulane University with a research profile that integrates artificial intelligence, applied statistics, machine learning, data science, public health analytics, and computational statistics. My academic work emphasizes methodological development, applied modeling, reproducible analysis, and the responsible translation of quantitative evidence into health and interdisciplinary decision-making.
My current research agenda includes design-optimized stratified sampling, missing-data imputation, class imbalance learning, explainable artificial intelligence, deep learning fusion, risk prediction, and robust healthcare evidence generation under practical data limitations.
Education
Doctor of Philosophy (PhD), BiostatisticsTulane University, Louisiana, USA | 2025 - Date
Master of Science (MS), Applied Statistics and Data ScienceThe University of Texas Rio Grande Valley, Texas, USA | 2023 - 2025
Master of Philosophy (MPhil), StatisticsUniversity of Ghana, Accra, Ghana | 2019 - 2021
Bachelor of Science (BSc), StatisticsUniversity of Ghana, Accra, Ghana | 2014 - 2018
Research Areas
Machine Learning for Imbalanced Data
Hybrid resampling, oversampling, stacking ensembles, model interpretability, and performance evaluation under skewed class distributions.
Time Series and Anomaly Detection
SARIMA, Prophet, Gaussian process regression, wavelet transforms, LSTM architectures, and anomaly detection schemes.
Statistical Design and Inference
Design and analysis of experiments, stratified sampling, nonresponse adjustment, simulation studies, and computational statistics.
Honors and Awards
This section includes all honors and awards from the United States of America.
Published Publications
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Work Experience, Teaching, and Research Duties
This section includes the full teaching, course-assistance, research, and internship duties I have engaged in.
Academic Service and Peer Review
Editorial Board Membership
- Journal of HIV/AIDS Research, 2024 - Date.
- Journal Multidisciplinar, Montevideo, 2024 - Date.
- Global Open Share Publishing, 2024 - Date.
Professional Membership
- Asian Council of Science Editors, Membership ID: 24268717, 2024 - Date.
- American Statistical Association, Membership ID: 258354, 2023 - Date.
- American Mathematical Society, Membership ID: AGEDFA, 2023 - Date.
Peer Reviewer for Selected Academic Journals
Scientific Reviews Undertaken in Peer-Reviewed Journals, 2022 - Date