Hi there! My name is Yingzhen (映真) and I hope you enjoy this website 😀

I am a researcher at Microsoft Research Cambridge. I work on probabilistic modelling and representation learning, some of the topics include:

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

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

I also actively work with academic people, so feel free to contact me for a chat over tea, or see here for collaborating/interning with me.

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 LiuDr. 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.

📧 Firstname.Lastname [at] company [dot] com

📧 liyzhen2 [at] gmail [dot] com