I have tutored and demonstrated a variety of subjects within computing, data analysis and machine learning. Below is a summary of some of the recent teaching I have done.
Demonstrated computing laboratories for undergraduate physics students:
- Computing in MATLAB (Michaelmas and Hilary, 2023/24)
- Data Analysis in Python (Michaelmas 2023)
Demonstrated on graduate courses:
- Environmental Data Analysis for the Intelligent Earth CDT (Michaelmas 2024)
- Software Engineering for the Schmidt AI in Science Postdoctoral Fellowship (Trinity 2024)
Ran graduate seminars on:
- Graduate Research Seminars for the Physical Climate System Stream of the NERC DTP (Michaelmas 2023)