Talks and tutorials

Unsupervised learning

R

unsupervised learning

PCA

clustering

Lecture and tutorial prepared and taught jointly by me and Kaspar Märtens at the NGSchool2022 in September 2022 in Jablonna, Poland.

Data visualization in bioinformatics

data viz

bioinformatics

I mentored hackathon during NGSprint where during the first part I taught data visualisation principles (with focus on use cases in computational biology) and introduction to interactivity with plotly and R Shiny. In the second part, participants applied their knowledge to visaulise the TCGA LGG data set.

Introduction to Git

git

intro

I run this workshop two years in the row for PhD students and young researchers in the Wellcome Centre for Human Genetics in Oxford.

Python for Data Science

python

NGSeminars

intermediate

Extension of the introduction class focused on how to leverage vast repository of Python modules to efficiently wrangle, analyze and visualize small and big data. We will mostly focus on NumPy, Pandas and Matplotlib, but also touch on ML libraries and Seaborn.

Introduction to Python

python

NGSeminars

intro

This workshop is design for those who didn’t code before or had limited exposure to other coding framework. With this workshop, I hope to show how Python works, what libraries are available and how to load and use them.