MrLukas Kopecky

In my role as a graduate teaching assistant, I am tasked with leading both supervised and unsupervised multivariate analysis tutorial within the Hands-on Data Analysis for Metabolic Profiling short-course of the Imperial International Phenome Training Centre.

I have also been a day-to-day supervisor for MRes Students.

I am also providing learning support to BSc Biomedical Science students enrolled in the Biomedicine Data Science module. Further, I am also supporting MSc Transitional Neuroscience students within their core Introduction to Computational Methods for the Brain Sciences module. Supporting both modules entails assisting students with coding, debugging, and interpreting results of machine learning and statistical models. In addition, I have been involved in marking assessments for these modules.

Lastly, within the role of Research Software Champion, I was tasked with supporting my fellow PhD students and colleagues in the department of Metabolism, Digestion and Reproduction with applying good coding practices in their research. I ran one-to-one coding clinics and organised a workshop focusing on version control with Git and GitHub.