Welcome!

Hi there! My name is Yingzhen and I hope you enjoy this website 🙂

I am a researcher at Microsoft Research Cambridge. I also actively work with students at the university so feel free to contact me for a chat over tea.

I work on Bayesian deep learning -- all aspect about it, including:

1. (deep) probabilistic graphical model design;
2. fast and accurate inference techniques;
3. uncertainty estimates for downstream tasks.

In general I'm also interested in transfer/meta learning, information theory, optimisation, and security in AI systems.

I read my PhD in machine learning at the University of Cambridge, where I was also a member of Darwin College. I had a great time working closely with Dr. Richard E. Turner (my PhD supervisor), and Dr. José Miguel Hernández-Lobato, Dr. Qiang Liu, Dr. Yarin Gal and Dr. Stephan Mandt.

My PhD thesis is about fast approximations to integrals, and as a side product here's an incomplete list of topics in approximate inference.