Teaching

Tutoring

Throughout my time at ANU, I have had the opportunity to be a tutor (US/Europe equivalent: Teaching Assistant) for a range of courses in computer science. My responsibilities typically involve:

• Organising and running weekly tutorial and lab sessions (remote & in-person).
• Designing and marking assignments and/or exams.
• Reviewing and improving tutorial content.
• Coordinating student research projects.

I have tutored the following courses:

• Advanced Topics in Machine Learning (COMP4680/8650) - 2 semesters
• Advanced Topics in Deep Learning for Computer Vision (COMP8536) - 2 semesters
• Statistical Machine Learning (COMP4670/8600) - 3 semesters
• Computer Vision (COMP4528) - 1 semesters
• Document Analysis (COMP4650/6490) - 1 semester
• Introduction to Machine Learning (COMP3670/6670) - 1 semester
• Engineering Data Analytics (ENGN8535) - 1 semester

Supervision

I have been fortunate to co-supervise undergraduate and master’s students on a variety of topics. I typically supervise one student per semester on a project related to my research interests. If you are a student at ANU and are interested in working together, please look for my project postings on the ANU student opportunities or feel free to reach out directly.

• Daniel Wang (Undergraduate, PhB). Project: Backpropagation-Free Gradient Estimation for Scalable Deep Learning (Semester 1, 2025). Co-supervised with Dylan Campbell.

• Shitong Wang (MSc in Mathematical Sciences). Thesis: Advancing parameter-free and architecture aware optimisation for deep networks (Semester 1 & 2, 2026). Co-supervised with Dylan Campbell.