Teaching
I am currently supervising a number of students on their final year project for the BSc/MSci Mathematics degree and MSc Statistics students on their dissertation at Imperial College London.I have been an Associate Fellow of Advance HE (AFHEA) since February 2024. I am also an ambassador of the MSc Statistics programme at Imperial College London, in recognition of outstanding contributions to the running and delivery of the programme.
In the academic year 2024-2025, I was a highly commended nominee for the Faculty of Natural Sciences (FoNS) Prize for Excellence in teaching and learning at the FoNS Annual Prizes 2025.
During my PhD at Imperial College London, I have been actively involved in several undergraduate & postgraduate courses as a (Senior) Graduate Teaching Assistant (GTA) or as a marker (list of modules below).
BSc/MSci Mathematics
Imperial College London, Department of Mathematics
- Probability and Statistics (Year 1)
- Probability for Statistics (Year 2)
- Statistical Modelling I (Year 2)
- Introduction to Statistical Learning (Years 3 & 4)
- Mathematics of Business and Economics (Years 3 & 4)
- Statistical Modelling II (Years 3 & 4)
MEng Mechanical Engineering
Imperial College London, Department of Mechanical Engineering
- Statistics (Years 3 & 4)
MSc Machine Learning and Data Science (Online)
Imperial College London, Department of Mathematics
- Deep Learning
- Supervised Learning
- Unsupervised Learning
MSc Statistics
Imperial College London, Department of Mathematics
- Computational Statistics
- Data Science
- Machine Learning