I am a PhD student in Machine Learning at University of Cambridge (Machine Learning Group) and Max Planck Institute for Intelligent Systems (Empirical Inference Department). My supervisors are Professor José Miguel Hernández-Lobato and Professor Bernhard Schölkopf. My advisor is Dr Hong Ge.
I am keen on basic research in machine learning and its scientific applications (e.g., drug discovery). My research interest lies at the intersection of probabilistic methods, deep learning, and causal inference. I aim to develop data-efficient machine learning methods that enable active data collection, robust inference and prediction, efficient data compression, and realistic generation of novel synthetic data.
PhD in Machine Learning
University of Cambridge and Max Planck Institute for Intelligent Systems
MPhil in Machine Learning and Machine Intelligence, Distinction, 2021
University of Cambridge
BSc in Mathematics, First Class Honours, 2020
University of Manchester