B14Information Engineering
How we extract information from signals, images, and noisy measurements. Topics include Fourier analysis and filtering, image restoration, statistical estimation, and Bayesian inference.
Teaching
Alongside my studies, I've taught across a wide range of topics. I find teaching rewarding and enjoy explaining concepts to curious students.
University of Oxford
Department of Engineering Science
Tutor
2026-27
In the course 2026-27, I will tutor the two courses below. Oxford tutorials are small-group sessions where students work through prepared problems, discuss the underlying ideas, and receive individual feedback.
C19Deep Learning
How modern neural networks learn and how we assess their behaviour. The course covers deep learning foundations, reinforcement learning, graph neural networks, and responsible, explainable, and multimodal AI.
Demonstrator
2025–26
My earlier Oxford appointments were as a demonstrator, supporting practical teaching in computing and information engineering.
Hilary 2026
- B14 Information Engineering · Dr. Yvonne Lu
- B20 Machine Learning · Dr. Yangchen Pan
- P5 Computing · Dr. Isaac Mear
Michaelmas 2025
- B1 Numerical Methods · Prof. Wes Armour
Universitat Politècnica de Catalunya (UPC)
Alongside my undergraduate studies, I taught introductory programming courses and mentored students at UPC.
Spring 2022
Lecturer
Intensive courses: Introduction to Python, Introduction to Matlab, and Introduction to Version Tracking using Git. Student mentoring.
Fall 2021
Lecturer
Student mentoring.
Spring 2021
Teaching Assistant
Algorithmics and Programming 2 · Prof. Jordi Cortadella and Prof. Jordi Petit