ICBINB

I am a Ph.D. candidate at the City University of Hong Kong. Currently, I am (remotely) visiting the University of Amsterdam in the INDElab, working on causality-inspired reinforcement learning. My research lies in the intersection areas of machine learning and causality, especially on leveraging causality and graphical representation to advance transfer or lifelong learning. Other things I’m excited about are representation learning, complex networks, and causal discovery.