Research Orientation
To contribute careful epidemiological research and analysis that helps clarify infectious disease questions, intervention choices and the evidence behind public health decisions.
Contact
Open to thoughtful research connections in infectious disease epidemiology, evidence synthesis, modelling and analytical work.
Methods
Modelling, statistical analysis, evidence review, visualization and scientific writing, with attention to assumptions, uncertainty and transparent workflows.
Principles
- Ask precise questions before choosing tools.
- Make analytical choices traceable and reviewable.
- Use critical thinking and quality assurance throughout.
Connections
- Research collaboration in infectious disease epidemiology.
- Publication, peer review and scientific writing exchange.
- Shared interest in evidence, methods and public health impact.
Areas of contribution
Domain knowledge
Infectious disease epidemiology and public health, particularly malaria.
Evidence and analysis
Data management, analysis, visualization, and communication.
Analytical tools
R, Python, Stata, SPSS, QGIS, LaTeX, batch scripting, HPC.
Working style
Collaborative, curious and methodologically careful.
