Affan Shoukat

SGI Assistant Professor of Data Science

Contact Info

Back to Directory

Research Interests

Data Science, Machine Learning, Mathematical Biology, Computational Epidemiology, Agent-Based Models, Scientific Computing

Current Courses

STAT 301 Introduction to Statistical Computing, CS/STAT 496 Data Science Capstone, CS 712 Foundations of Statistics and Machine Learning.

Recent Publications

1) Wells, Chad R., Affan Shoukat, Thomas Shin, Alison P. Galvani, and Seyed M. Moghadas. 2026. “Racial and Ethnic Disparities in Meningococcal Vaccination Coverage and Disease Burden Among u.s. Adolescents.” Journal of Adolescent Health 78 (2): 308–14. https://doi.org/https://doi.org/10.1016/j.jadohealth.2025.09.030.

2) Aibinu, M. O., A. Shoukat, and F. M. Mahomed. 2025. “Fractional Logistic Growth with Memory Effects: A Tool for Industry-Oriented Modeling.” Results Appl. Math. 28: Paper No. 100647, 12. https://doi.org/10.1016/j.rinam.2025.100647.

3) Shoukat, Affan, Chad R. Wells, Thomas Shin, Lilia Potter-Schwartz, Alison P. Galvani, and Seyed M. Moghadas. 2025. “Assessing the impact of revising MenACWY vaccination schedule for adolescents in the United States: a modelling Study.” The Lancet Regional Health – Americas 44 (April). https://doi.org/10.1016/j.lana.2025.101033.

4) Ye, Yang, Abhishek Pandey, Carolyn Bawden, Dewan Md. Sumsuzzman, Rimpi Rajput, Affan Shoukat, Burton H. Singer, Seyed M. Moghadas, and Alison P. Galvani. 2025. “Integrating Artificial Intelligence with Mechanistic Epidemiological Modeling: A Scoping Review of Opportunities and Challenges.” Nature Communications 16 (1): 581. https://doi.org/10.1038/s41467-024-55461-x.