- Publications in top AI/ML venues such as ICLR, ICML, CVPR, IJCV
- Featured by major media outlets including Süddeutsche Zeitung and South China Morning Post
- Area chair and member of programme committee for MICCAI 2025 Agentic AI for Medicine Workshop
- Multiple papers accepted or available online at The Lancet Obstetrics, Gynaecology, & Women’s Health, Pattern Recognition (PR), International Journal of Robotics Research (IJRR), International Journal of Computer Vision (IJCV)
- Invited to review for ICML 2025 and NeurIPS 2025
- Program Committee for AAAI 2025
- Nominated for USERN Prize
- Delivered talks at various international conferences
Research Experience
- Postdoctoral researcher at the Oxford Applied and Theoretical Machine Learning (OATML) Group, advised by Prof. Yarin Gal
- During his PhD, he interned at Tencent’s Robotics X Lab, working with Prof. Lipeng Chen on enabling robots to learn throwing and catching skills from human demonstrations
Education
- PhD in Machine Learning from the Department of Informatics, King's College London, supervised by Prof. Michael Spratling
- Time: Not explicitly provided
Background
- Research Interests: AI Safety (including Hallucinations, Safety Alignment, Jailbreaking, Adversarial ML), LLM Agents and Social Simulation, AI+ Applications (healthcare, robotics, business)
- Brief Introduction: A postdoctoral researcher in the Oxford Applied and Theoretical Machine Learning (OATML) Group at the Department of Computer Science, University of Oxford, leading a research project on the safety of multimodal foundational models as part of the €29M Horizon Europe project, DVPS.
Miscellany
- Open to collaborations and connections, and looking for self-motivated students to explore exciting research directions together