TRKOY

Hi there 👋. I’m Tony RuiKang OuYang (歐陽瑞康 in Chinese; SeoiHong AuYeung pronounced in Cantonese). I’m an first-year PhD in Machine Learning 🤖 at the Machine Learning Group, University of Cambridge, supervised by Prof. José Miguel Hernández-Lobato and fully funded by the EPSRA DLA scholarship.

Recently, I completed my MPhil in Machine Learning and Machine Intelligence from the University of Cambridge 🎉. My MPhil thesis focus on energy-based neural sampler for sampling from Boltzmann distribution, which is supervised by Prof. José Miguel Hernández-Lobato. Prior to that, I finished my BEng in Data Science in Harbin Institute of Technology, Shenzhen (HITsz) and spent a wonderful year visiting in the University of Oxford studying Mathematics and Statistics (fully-funded by HITsz).

My current research interests include generative models, energy-based models, sampling methods, and their interactions and also their applications to molecular sciences 🧬. Generally, I’m interested in probabilistic machine learning and AI4Science, especially developing powerful, efficient, and scalable methods that can be applied to physics ⚛️ and biochemistry 🧪.

I lead the MolSS Reading Group, which invites top researchers to share their works on machine learning for molecular sciences, for every two weeks. Save our website and join our Slack-channel to stay tuned 🚀