Teaching

This page details my teaching experience. For a summary, please see the Teaching Experience section of my CV.

2025

Nov 2025

Introduction to single-cell RNAseq data analysis using R

Five (of six) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

Oct 2025

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (11 participants).

Sep 2025 -
Oct 2025

Genomics on the Linux command line

Five days of hands-on training covering Linux command line tools for genomic data analysis (11 participants).

Sep 2025

iSEE therefore I explore (better)

Contributed to the organisation and delivery of a 1h45min workshop covering interactive visualisation of omics data using the iSEE package.

Workshop materials

Sep 2025

Orchestrating Large-Scale Single-Cell Analysis with Bioconductor

Two days of hands-on training covering the Bioconductor ecosystem for single-cell RNA-seq analysis (21 participants).

Event page   Lesson materials

Jul 2025

Spatial Transcriptomics data analysis using R

Four days of hands-on training covering spatial transcriptomics data analysis (12 participants).

Jun 2025

Introduction to single-cell RNAseq data analysis using R

Six days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

May 2025

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (12 participants).

May 2025

Genomics on the Linux command line

Five days of hands-on training covering Linux command line tools for genomic data analysis (12 participants).

Apr 2025

MSc in Precision Cancer Medicine

Department of Oncology (University of Oxford)

Two online tutorials (13 participants).

Feb 2025

Introduction to single-cell RNAseq data analysis using Python

Five days of hands-on training covering single-cell RNAseq data analysis using Python (12 participants).

Jan 2025

Python programming and data science

Six days of hands-on training covering Python programming and data science principles (7 participants).

Jan 2025

Genomics on the Linux command line

Five days of hands-on training covering Linux command line tools for genomic data analysis (9 participants).

2024

Dec 2024

Containers for Reproducible Research

One-day of hands-on training covering containerization technologies (e.g., Apptainer) for reproducible research (8 participants).

Nov 2024

Introduction to single-cell RNAseq data analysis using R

Six days of hands-on training covering single-cell analysis using Seurat and Bioconductor (11 participants).

Oct 2024

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (14 participants).

Sep 2024 -
Oct 2024

Genomics on the Linux command line

Five days of hands-on training covering Linux command line tools for genomic data analysis (13 participants).

Sep 2024

Spatial Transcriptomics Data Camp

Five days of hands-on training covering spatial transcriptomics data analysis (25 participants).

News article

Sep 2024

Navigating and expanding the iSEE universe

Co-organised and delivered a 40min workshop covering interactive visualisation of omics data using the iSEE package.

Workshop materials

Jun 2024

Introduction to single-cell RNAseq data analysis using R

Five (of six) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (13 participants).

May 2024

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (10 participants).

May 2024

Version control using Git and GitHub

One-day lesson of hands-on training covering version control using Git and GitHub as part of the ’Genomics on the Linux command line (11 participants).

Apr 2024

MSc in Precision Cancer Medicine

Department of Oncology (University of Oxford)

Two online tutorials (14 participants).

Mar 2024

Introduction to single-cell RNAseq data analysis using R

Five (of six) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (10 participants).

Feb 2024-
Mar 2024

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (13 participants).

Feb 2024

Version control using Git and GitHub

One-day lesson of hands-on training covering version control using Git and GitHub as part of the ’Genomics on the Linux command line (11 participants).

2023

Oct 2023

Introduction to single-cell RNAseq data analysis using R

Five (of six) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

Sep 2023-
Oct 2023

R for data science and genomics

Nine days of hands-on training covering R programming, data science principles, and genomic data analysis (13 participants).

Sep 2023

Version control using Git and GitHub

One-day lesson of hands-on training covering version control using Git and GitHub as part of the ’Genomics on the Linux command line (13 participants).

Sep 2023

iSEEing is believing: the iSEE package for efficient, interactive, and reproducible exploration of data

Contributed to the organisation of a 40min workshop covering interactive visualisation of omics data using the iSEE package.

Workshop materials

Jun 2023

Introduction to single-cell RNAseq data analysis using R

Three (of six) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

Jun 2023

R for data science and genomics

Eight (of ten) days of hands-on training covering R programming, data science principles, and genomic data analysis (12 participants).

Apr 2023

Genomics on the Linux command line

Two (of five) days of hands-on training covering Linux command line tools for genomic data analysis (12 participants).

Apr 2023

MSc in Precision Cancer Medicine

Department of Oncology (University of Oxford)

Two online tutorials (8 participants).

Feb 2023

Introduction to single-cell RNAseq data analysis using R

Three (of five) days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

Jan 2023-
Feb 2023

R for data science and genomics

Ten days of hands-on training covering R programming, data science principles, and genomic data analysis (12 participants).

Jan 2023

Version control using Git and GitHub

One-day lesson of hands-on training covering version control using Git and GitHub as part of the ’Genomics on the Linux command line (10 participants).

2022

Oct 2022

Introduction to single-cell RNAseq data analysis using R

Five days of hands-on training covering single-cell analysis using Seurat and Bioconductor (12 participants).

Oct 2022

R for data science and genomics

Eight (of ten) days of hands-on training covering R programming, data science principles, and genomic data analysis (12 participants).

Sep 2022

Version control using Git and GitHub

One-day lesson of hands-on training covering version control using Git and GitHub as part of the ‘Python programming and data science’ curriculum (12 participants).

Sep 2022

Genomics on the Linux command line

Four days of hands-on training covering Linux command line tools for genomic data analysis (12 participants).

May 2022

Oxford Biomedical Data Science (OBDS) Training Programme

Fifteen (of thirty) days of hands-on training covering Linux and R programming for genomic and single-cell data analysis (8 participants).

Apr 2022

MSc in Precision Cancer Medicine

Department of Oncology (University of Oxford)

Three online tutorials (8 participants).

Jan 2022-
Feb 2022

Oxford Biomedical Data Science (OBDS) Training Programme

Fifteen (of thirty) days of hands-on training covering Linux and R programming for genomic and single-cell data analysis (8 participants).

2021

Sep 2021-
Oct 2021

Oxford Biomedical Data Science (OBDS) Training Programme

Fifteen (of thirty) days of hands-on training covering Linux and R programming for genomic and single-cell data analysis (8 participants).

May 2021-
Jun 2021

Oxford Biomedical Data Science (OBDS) Training Programme

Thirteen (of thirty) days of hands-on training covering Linux, Python, and R programming for genomic and single-cell data analysis (8 participants).

Jan 2021-
Feb 2021

Oxford Biomedical Data Science (OBDS) Training Programme

Thirteen (of thirty) days of hands-on training covering Linux, Python, and R programming for genomic and single-cell data analysis (8 participants).

2020

Sep 2020-
Oct 2020

Oxford Biomedical Data Science (OBDS) Training Programme

Sixteen (of thirty) days of hands-on training covering Linux, Python, and R programming for genomic and single-cell data analysis (8 participants).

Jul 2020

Interactive visualization of SummarizedExperiment objects with iSEE

Co-organised and delivered a 55min online workshop covering interactive visualisation of omics data using the iSEE package.

Workshop materials   YouTube recording

Jun 2020

iSEE: Interactive visualization of SummarizedExperiment objects

SIB Days (Online)

Co-organised and delivered a 2h30 online workshop covering interactive visualisation of omics data using the iSEE package..

Workshop materials

Apr 2020-
Jun 2020

Oxford Biomedical Data Science (OBDS) Training Programme

Thirty days of hands-on training covering Linux, Python, and R programming for genomic and single-cell data analysis (8 participants).