Teaching

Teaching material


Tutorial at useR! 2018, Brisbane, Australia

Disease risk modeling and visualization using R



Courses at undergraduate and postgraduate levels


Hawassa University, Ethiopia

Spatial modeling and visualization of health data, 2018
Visiting lecturer
This course describes methods to estimate the spatial variation of health outcomes, and to create interactive visualizations, dashboards and Shiny web applications.

Queensland University of Technology, Brisbane, Australia

Biomedical Skills II, 2016
Lecturer
This course is designed for biomedical science students and covers a range of basic biostatistical methods to analyse and interpret data.

London School of Hygiene & Tropical Medicine, UK

Spatial Epidemiology in Public Health, 2015
Lecturer
This course aims to introduce students to methods for describing and understanding the spatial variation in disease risk in geographically referenced health data.

Lancaster University, UK

Environmental Epidemiology, 2014
Teaching Assistant
This course aims to introduce students to the kinds of statistical methods used to investigate the relationship between risk of disease and environmental factors. Specifically the course concentrates on studies with a spatial component.

Short courses


useR! 2018 conference, Brisbane, Australia

Disease risk modeling and visualization using R

RaukR. Advanced R programming for Bioinformatics summer school 2018, Visby, Sweden

Disease risk modeling and visualization using R

Building a Shiny web application to visualize spatial and spatio-temporal data