Teaching

From primary school to university, I’ve been fortunate to have met and known many great teachers and mentors. They are authentic, generous and empathetic, with admirable work ethic and genuine love for their work. These people have profoundly influenced me and ignited my passion for teaching and outreach.

Over the past decade, I have participated in numerous teaching and outreach activities. I enjoy sharing my passion for probability, statistics and information theory with younger students. I enjoy simplifying complex topics in an accessible yet accurate way to help my students build intuition. Through this process, I often discover new technical insights. I hope to make helping and inspiring younger students a recurring theme of my career.

Selected teaching & outreach experience:

• Co-supervise MSc projects on statistics, and machine learning theory, 2025-present
• Co-supervise UNIQplus project (Oxford widening-access research internship programme), 2026
• Speaker and lecturer at algorithmic statistics module and workshop for Imperial-Oxford StatML Centre for Doctoral Training (CDT) and for the Fundamentals of AI Erlangen Hub, November 2025
• Teaching assistant for third-year undergraduate courses 3F7 Information Theory & Coding and 3F4 Data Transmission, 2019-2024
• Co-supervise MEng projects on statistical learning and communications, 2023-2024
• Demonstrator for 3F4 Data Transmission laboratory
• Teaching assistant for Electronic & Information Engineering Track at Cambridge AI+ Programme 2022 and 2023
• Project lead at the 2019 Micro Distance International Youth Forum
• Volunteer at Cambridge Hands-On Science (CHaOS) volunteer for A level maths, 2019