Teaching
Advanced Machine Learning
- Co-lectured for 700+ students across lectures, assignments, and project supervision.
- Coordinated a team of 15 teaching assistants and co-designed examinations.
AI in Health - Machine Learning Module
- Delivered lectures on interpretable machine learning and supervised learning workflows.
- Created homework assignments and co-authored the module exam for cohorts of 250+ students.
Intelligent System - Statistical Analysis Module
- Led sessions on statistical inference, hypothesis testing, and algorithm performance comparison.
- Designed exercises reinforcing statistical analysis for AI systems.
Machine Learning & Deep Learning
- Delivered labs on convolutional neural networks and model implementation in Python.
Machine Learning Module
- Taught hinge-loss optimization for support vector machines and introduced kernel methods.
Bayesian Multi-Criteria Decision-Making
- Designed a Bayesian decision-making module with Python-based MCMC tutorials.