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.
Ph.D. in Statistical Machine Learning
University of Oxford
M.Sc. in Artificial Intelligence
University of Edinburgh
B.Sc. in Mathematics and Applied Mathematics
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