Teaching material
Disease risk modeling and visualization using R
Tutorial at useR! 2018, Brisbane, Australia
Courses at undergraduate and postgraduate levels
King Abdullah University of Science and Technology (KAUST)
Linear models, 2021, 2022, 2023
Lecturer
Lecturer
This course is an introduction to the formulation and use of linear models and generalizations including parameter estimation and inference for such models in a variety of settings.
Spatial Data Science with R, 2022, 2023
Lecturer
Lecturer
This course presents statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.
Building Statistical Data Science Software: R Packages and Visualization, 2022
Lecturer
Lecturer
This course provides an overview of the statistical software R for building statistical data science software including interactive web applications and R packages.
Applied Statistics & Data Analysis (Master's Data Science & Analytics - Aramco), 2022
Lecturer
Lecturer
This course covers a range of statistical methods to enable to understand and implement a range of techniques to analyze data using the statistical software R.
Barcelona School of Economics, Spain
Spatial Data Science with R (Master's Data Science), 2023
Visiting Lecturer
Visiting Lecturer
This course presents statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.
University of Bath, UK
Bayesian and large scale methods, 2020
Lecturer
Lecturer
This course introduces methods for large scale Bayesian stochastic modelling and statistical inference, including theoretical concepts as well as computational techniques.
Mathematical and statistical methods for the life sciences, 2019
Lecturer
Lecturer
This course provides students with a background in probability and statistics to enable to understand and implement a range of statistical techniques to analyze data.
Probability & Statistics 1A, 2019
Tutor
Tutor
This course aims to provide a solid foundation in discrete probability theory that facilitates further study in probability and statistics.
Hawassa University, Ethiopia
Spatial modeling and visualization of health data, 2018
Visiting lecturer
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
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
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
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.