Teaching

I am passionate about teaching, and have been lucky to have taught a considerable amount throughout my career to both undergraduate and postgraduate students as well as delivering short courses to public health officials, policy makers and researchers with external partners. I have prepared, planned and delivered content to participants with a range of skills and abilities, both inside and outside of a university environment.

Lecturing and tutorials

Below is a summary of my undergraduate and postgraduate teaching experience.

Year	Semester	Module
2024-25	Both	EART29200: Professional Development and Project Preparation (Tutorials)
	Autumn	DATA70121: Statistics and Machine Learning 1 - Statistical Foundations (Lecturer, 33%)
	Spring	EART11200: Natural Scientists Toolkit - Maths & Physics (Lecturer)
2023-24	Both	EART29200: Professional Development and Project Preparation (Tutorials)
	Spring	EART11200: Natural Scientists Toolkit - Maths & Physics (Lecturer, 50%)
2022-23	Both.	MTH1004: Probability, Statistics and Data (Tutorials)
	Spring	MTHM506/COMM511: Statistical Data Modelling
2021-22	Autumn	MTHM503: Applications of Data Science and Statistics
	Spring	MTHM506/COMM511: Statistical Data Modelling
		MTH3012/ECMM449/ECM3904: Advanced Statistical Modelling
	Summer	MTHM506J: Statistical Data Modelling
2020-21	Autumn	MTHM503: Applications of Data Science and Statistics
	Spring	MTHM503J: Applications of Data Science and Statistics
2019-20	Autumn	MTHM503: Applications of Data Science and Statistics
		SPH001: Intro to Statistical Thinking and Data Analysis (Tutorials)
2018-19	Autumn	Statistical Modelling (as part of MSc Data Science Professional)
2016-17	Autumn	MA10213: Business Data Analysis (Practicals)
	Summer	MA10214: Quantitative Methods (Tutorials)
2015-16	Autumn	MA10213: Business Data Analysis (Practicals)

Short-courses

Below is a summary of various short-courses I have (helped) plan, prepare and deliver.

Year	Short-course
2022	NASA Space Apps Bootcamps Met Office, UK.
	Introduction to Statistical Machine Learning British Lithium, UK.
	Environmental Intelligence: Methods and Models (Part II) University of Exeter, UK.
2021	Environmental Intelligence: Methods and Models (Part I) University of Exeter, UK.
2018	Environment and health impact assessment in industrially contaminated sites. WHO Capacity Building program, Belgrade, Serbia.
	Statistical Methods and Data Analysis for Global Health. Imperial College London, UK.
2017	Environmental Health Impact Assessment using R. Institute of Occupational Medicine, UK.
	Quantifying the Health Impacts of Air Pollution. BUCX (Bath-UNAM-CIMAT) Conference, UNAM, Mexico.
	Health Impacts Analysis using R. ICSHNet - EU Cost Action Conference, Thessaloniki, Greece.
2016	Bayesian Hierarchical Models. CLAPEM Conference, San José, Costa Rica.
	Data Science and Statistics in Research: Unlocking the Power of your Data. National University of Mongolia, Mongolia.
	Integrated Environment & Health Impact Assessment: A Tool for Intersectoral Action. WHO Capacity Building program, Tallinn, Estonia.
	Integrated Environment & Health Impact Assessment: A Tool for Intersectoral Action. WHO Capacity Building program, Bucharest, Romania.
	New Frontiers: Advanced Modelling in Space and Time. BUC4 (Bath-UNAM-CIMAT) Conference, University of Bath, UK.
	Thinking Globally: The Role of Big Data. BUC2 (Bath-UNAM-CIMAT) Conference, UNAM, Mexico.
2015	When Populations and Hazards Collide: Modelling Exposures and Health Risks BUC1 (Bath-UNAM-CIMAT) Conference, CIMAT, Mexico.