Jiaoyan Chen is a post-doctoral researcher at Oxford and is mainly working on the inter-disciplinary direction of knowledge reasoning and machine learning. The research topic includes (i) how ontology knowledge bases can help explain machine learning approaches such as deep feature transfer; (ii) how knowledge representation and reasoning can boost machine learning in its application in predictive analytics, e.g., air quality forecasting; (iii) how to combine rule and knowledge-based inductive reasoning and differentiable learning for more interpretable, transferable, cost sensitive machine learning; (iv) how machine learning can be applied in expressive ontology construction and ontology based data access.