Emmanuelle Dankwa

I am an infectious disease epidemiologist and statistician.

My current research concerns the design of mathematical tools (known as models) for understanding the spread of multidrug-resistant tuberculosis (MDR-TB). MDR-TB is TB resistant to (at least) isoniazid and rifampin, the two most potent anti-TB drugs, and is a major global health concern. My work aims to provide evidence for the formulation of control policies against MDR-TB.

I am also involved in efforts, led by the Center for Communicable Disease Dynamics (CCDD), to develop capacity in infectious disease modeling in Africa. To this end, I contribute to the design and delivery of the UGHE (University of Global Health Equity, Rwanda)/Harvard training course in mathematical modeling of infectious disease transmission.

Affiliations: CCDD and the Menzies lab (PI: Dr. Nick Menzies).

Teaching Experience

1. Course Title: Mathematical Modeling of Infectious Diseases (Harvard T. H. Chan School of Public Health, Spring 2023). Instructor.

2. Course Title: UGHE/Harvard Mathematical Modeling for Infectious Disease Planning Course (University of Global Health Equity, Rwanda, 2023). Teaching Fellow.

3. Course Title: Statistical Programming (Department of Statistics, University of Oxford, Hilary 2022). Teaching Assistant.

4. Course Title: Applied Statistics (Department of Statistics, University of Oxford, Michaelmas 2019). Teaching Assistant.

5. Course Title: Statistical Lifetime Models (Department of Statistics, University of Oxford, Michaelmas 2020). Teaching Assistant.

6. Course Titles: Probability Distributions & Numeracy Skills (Department of Statistics, University of Ghana, 2017/18 academic year). Teaching Assistant.