I am a PhD student in Machine Learning at University of Cambridge (Computational and Biological Learning Lab). My supervisors are Professor Guillaume Hennequin and Dr Alberto Bernacchia. Prior to my PhD, I completed MPhil in Machine Learning and Machine Intelligence at University of Cambridge, supervised by Prof Richard Turner. I also obtained a B.Sc. in Applied Mathematics from University of Singapore, supervised by Prof Vincent Tan.

My current project studies meta-learning from a dual machine-learning and biological perspective. My research interests also include probabilistic modelling, explainable AI and causal inference. I aim to develop trustworthy algorithms that combine fast and transferable learning, robustness, and interpretability.

  • Meta Learning
  • Probablistic Modelling
  • Biological Learning
  • Explainable AI
  • Causal Inference
  • PhD in Machine Learning

    University of Cambridge

  • MPhil in Machine Learning and Machine Intelligence, Distinction, 2020

    University of Cambridge

  • BSc in Applied Mathematics, specialised in Mathemtical Modelling and Data Analysis, 2019

    National University of Singapore


PhD Student
Oct 2022 – Present Cambridge, United Kingdom
EPSRC Doctoral Training Partnership (DTP) PhD studentship at the Department of Engineering
Algorithm Engineer
Jul 2020 – Sep 2022 Hangzhou, China
  • Research on causal inference, including counterfactual regression, causal discovery on mixed-type data, and uncertainty study of Bayesian network structural learning.
  • Research on XAI, including feature attribution, algorithm recourse, and mixture of experts.
  • Apply research methods on real-world problems, such as root cause analysis on shopping behavior data and explanability on electricity load forecasting.
Data Science Intern
May 2018 – Aug 2018 Singapore, Singapore
Teaching Assistant
Jan 2017 – Dec 2018 Singapore, Singapore