Jin Xu

Jin Xu

Ph.D. Candidate in Statistical Machine Learning

Department of Statistics, University of Oxford

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.

  • Meta Learning
  • Equivariance in Deep Learning
  • Representation Learning
  • Machine Learning for Scientific Discovery
  • Ph.D. in Statistical Machine Learning

    University of Oxford

  • M.Sc. in Artificial Intelligence

    University of Edinburgh

  • B.Sc. in Mathematics and Applied Mathematics

    Fudan University