Hi, I am Siyuan, a PhD student supervised by Bernhard Schölkopf at the Max Planck Insitute for Intelligent Systems in Tübingen and Ferenc Huszar at University of Cambridge. I am also a PhD fellow under Cambridge-Tuebingen PhD Felloship,

My research interest broadly involves incorporating causality into machine learning methods. My past work focuses on establishing theoretical connection between causality with Bayesian statistics. In particular, I want to learn causal information from multi-environment data using Bayesian principled methods. Also, I am interested in general in migrating current machine learning methods beyond i.i.d assumptions. 

For more information, please visit my personal website: siyuanguo.com

Feel free to contact me at syg26@cantab.ac.uk

Representation learning Bayesian statistics Causality Meta-learning Fairness