CV

Work experience

• SmartBiomed Postdoctoral Researcher in Multi-Omics and Artificial Intelligence, University of Oxford, 2025 - Present
• Postdoctoral Researcher in Artificial Intelligence, University of Oxford, 2023-2025
  • Working with Prof Christopher Yau on Bayesian modelling, deep learning methods for chemical and genetic perturbation data.

Education

• Bachelor of Mathematics, University of Waterloo, 2013-2017
• MSc in Statistical Science, University of Oxford, 2017-2018
• DPhil in Statistics, University of Oxford, 2018-2023

Publications

Calibrated approximate Bayesian inference

Distortion estimates for approximate Bayesian inference

Improving bridge estimators via f-GAN

Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling

GPerturb: Gaussian process modelling of single-cell perturbation data

MIND: Multimodal Integration with Neighbourhood-aware Distributions

Continual learning via probabilistic exchangeable sequence modelling