COURSES
Research Data Science, Alan Turing Institute (2 weeks, 2021) - GitHub, open_research, python
Mendelian Randomisation, University of Cambridge (3 weeks, 2021) - R, MRBase
The Turing Way Book Dash, Alan Turing Institute (1 week, 2021) - GitHub, open research
The Turing Way Workshop, Alan Turing Institute (2 days, 2021) - GitHub, licensing, Binder, open research
Data Skills for Open Research, UK Reproducibility Network (1 day, 2021) - Rmarkdown, git, GitHub, open research
Research Software Engineering, Alan Turing Institute (2 weeks, 2021) - Python, CSS, bash, git, GitHub
Bayesian Methods, Alan Turing Institute (1 day, 2020) - Python
Exploring Molecular Pathways and Networks, King’s College London (1 day, 2020) - R, cytoscape
Prediction Modelling, King’s College London (1 week, 2020) - R
Mendelian Randomisation, Preconference course (2 days, 2020) - R
Machine Learning, King’s College London (1 week, 2020) - R, bash
Introduction to high performance and high throughput computing, UCL (self taught, 2019) - bash
Advanced Python for Biologists, External course (1 week, 2019) - Python
TEACHING
Big Data module lead (2021-22) and teaching assistant (2019-20), BSc Psychology - Python (all teaching notebooks were expertly created by Jodie Lord and can be found here).
Reproducible Reporting Using Markdown, DEMON Netork (2021) - Markdown, GitHub, git
Research Methods, BSc Psychology (2019, 2020) - R, SPSS
Mendelian randomisation workshop (2018, 2019), MSc Neuroscience - R
Polygenic risk scores summer school (2019), King’s College London - R, PRSice, plink, bash