Dr. Theophilus Kwofie

Visiting Assistant Professor, Mathematics & Statistics

Mathematical modeling and machine learning for challenges in public and population health.

Current Position: Visiting Assistant Professor, Department of Mathematics and Statistics, Austin Peay State University.

Ph.D.: Applied Mathematics, Arizona State University (2025).

I work at the interface of mathematical epidemiology, hybrid mechanistic–data-driven modeling, and trustworthy AI to support decision-making in complex and data-limited health systems.

View CV (PDF) Research overview Google Scholar
Portrait of Theophilus Kwofie

Research Focus

I build and analyze mathematical and machine learning models to understand how interventions, behaviours, and structural factors shape population health outcomes.

Current Themes

  • Hybrid mechanistic–ML models for infectious and noncommunicable diseases.
  • Optimal control and cost-effectiveness of public health interventions.
  • Modeling social and behavioural dynamics such as fear, deterrence, and addiction.
  • Trustworthy, interpretable, and equity-aware predictive analytics.

At a glance

Areas of Interest

Mathematical epidemiology Machine learning for public health Hybrid mechanistic / data-driven models Optimal control Uncertainty quantification Health equity Crime & social dynamics

Short Links

Awards & recognition

  • 2023 – Student Leader Award, College of Liberal Arts and Sciences, Arizona State University.

A full list of awards and honors is available in my CV.

News & media

Selected media coverage and public-facing discussions of my work in mathematical modeling and public and population health.

Other affiliations & memberships

  • Member, American Mathematical Society (AMS).
  • Member, Society for Industrial and Applied Mathematics (SIAM).
  • Member, Canadian Mathematical Society (CMS).
  • Member, National Society of Leadership and Success (NSLS).
  • Member, The New York Academy of Sciences.