Research, teaching, and the communities I contribute to.
education
Oct 2023 – present
PhD in Mathematics of Information · University of Cambridge
Department of Applied Mathematics and Theoretical Physics. Supported by a four-year Swiss National Science Foundation scholarship.
Supervisors: Professor Carola-Bibiane Schönlieb and Professor Angelica I. Aviles-Rivero.
Sep 2019 – Jun 2023
BSc in Computing Mathematics · City University of Hong Kong
First Class Honours; Dean’s List on three occasions.
research experience
Oct 2024 – Jan 2025 Jun – Oct 2025 Jun – Oct 2026
Visiting Student · Tsinghua University
Yau Mathematical Sciences Center, Beijing. Supervised by Professor Angelica I. Aviles-Rivero; supported by SNSF and Cambridge Centre for Data-Driven Discovery funding.
Jan – Mar 2024
Research Intern · BBC Computer Vision Team
Developed Watermarked Vector Quantized Generative Adversarial Network (W-VQGAN), a framework for embedding and detecting watermarks in GAN-generated images to support digital media authenticity.
Supervisors: Dr Juil Sock, Dr Marc Górriz Blanch and Dr Woody Bayliss.
Jul – Sep 2023
Research Assistant · City University of Hong Kong
Department of Mathematics. Research in mathematical finance and prompt engineering, supervised by Professor Raymond H. Chan.
May – Aug 2022
Summer Research Intern · University of Cambridge
DAMTP. Worked on Continuous U-Net: Faster, Greater and Noiseless, subsequently accepted by Transactions on Machine Learning Research. Supported by City University of Hong Kong.
Supervisors: Professor Raymond H. Chan, Professor Carola-Bibiane Schönlieb and Dr Angelica I. Aviles-Rivero.
teaching
Feb 2024 – Jun 2026
Teaching Assistant · Tsinghua University
Remote teaching assistant for five offerings of Machine Learning Theory, a core PhD course at the Yau Mathematical Sciences Center.
Sep 2021 – May 2022
Mathematics Tutor · City University of Hong Kong
Additional tutorials for MA1300 and MA1301 in calculus and linear algebra. Also provided Math Help Centre consultations in linear algebra, calculus and ordinary differential equations.
Feb – May 2021
PALSI Leader · City University of Hong Kong
Provided tutorials for PHY1201 in the Department of Physics.
academic service
organising
2026: Co-organiser, Data, Models, and Gradients: Learning to Optimise — and Beyond, SIAM Optimization 2026, University of Edinburgh, 2–5 July.
2025–2026: Co-organiser, AI4Science Beijing Meetup — Learned Partial Differential Equations, Tsinghua University; 28 June 2025 and 13 June 2026.
2024–2026: Co-organiser, GraphMIA tutorial at MICCAI.
2025: Co-organiser, DLMed25: Medical Imaging in the Deep Learning Era, online winter school, 5–6 December.
reviewing
NeurIPS 2026; AAAI 2026; ICLR 2025 and 2026; IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2024.
volunteering
Geometric Deep Learning Workshop, University of Cambridge, 10–12 June 2024.
Medical Image Understanding and Analysis (MIUA), University of Cambridge, 27–29 July 2022.
selected talks & presentations
Mar 2025 · SIAM CSE, Fort Worth, Texas.Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs.
15 Oct 2024 · City University of Hong Kong.Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs.
28–31 May 2024 · SIAM Conference on Imaging Science, Georgia, USA. Symposium talk: Second-Order Neural ODEs for Inverse Imaging Problems.
Aug 2023 · ICIAM, Tokyo, Japan. Symposium talk: Second-Order Neural ODEs for Inverse Imaging Problems.
May 2023 · SIAM Conference on Optimization, Seattle, USA. Symposium talk: Second-Order Neural ODEs for Inverse Imaging Problems.
Mar 2023 · CityU Employers’ Luncheon, Hong Kong.Continuous U-Net for Medical Image Analysis: Faster, Greater and Noiseless.
mentorship
Jun 2026 – present
Bincheng Hu · Shanghai Normal University
Undergraduate research in deep learning for PDEs.
Jun 2026 – present
Nan Huang · City University of Hong Kong
Undergraduate research in deep learning for PDE discovery.
Jun – Aug 2024
Mengqi (Mona) Shi · Tsinghua University
Undergraduate research in deep learning for PDEs.
Jun – Aug 2024
Haoran Li · Tsinghua University
Undergraduate research in Kolmogorov–Arnold networks.
Nov 2023 – Mar 2024
Rui Gou · Beijing Normal University
PhD researcher working on time series for Earth observation.
Sep – Dec 2023
Sergio Calvo-Ordoñez
Research in diffusion models; subsequently a PhD student at the University of Oxford.
selected honors
2024: Swiss National Science Foundation four-year PhD scholarship.
2023: SMMC top-quartile listing for pairs and Best-in-University Prize; best results at City University of Hong Kong.
2023: HKSAR Government Scholarship Fund — Talent Development Scholarship.
2023: Chi-Li Pao Foundation Scholarship for Academically Outstanding Students.
2023: Jingchen Monika Hu Scholarship for Postgraduate Studies.
2023: Hong Kong Hua-Yan Buddhist Association Scholarship.
2022: HKSAR Government Scholarship Fund — Reaching Out Award.
2021: Finalist, City Innovation and Technology Grand Challenge, for an age-friendly virtual assistant for social connectivity.