I am a Ph.D. student in the Department of Statistics at the University of Oxford, supervised by Yee Whye Teh and Tom Rainforth, and I am part of the OxCSML group.

My recent research interests include meta learning, equivariance in deep learning, and they share the same goal of making deep learning data efficient. I am also increasingly passionate about the intersection of machine learning and science. This includes the acceleration of numerical methods through deep learning, as well as data-driven approaches to mathematical modeling, such as learning neural-parameterized stochastic processes or differential equations directly from data.

I am funded by the Oxford-Tencent Collaboration on Large Scale Machine Learning project.