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Rui Zhang

Research student

Lancaster University

Fylde College

LA1 4YF

Lancaster

Research overview

I am broadly interested in computational statistics and machine learning methodologies, and their applications in scientific and health-related disciplines. In particular, I am interested in (1) developing methodologies with strong relevance to applications, and (2) advancing our understanding of the underlying mechanisms behind existing, commonly used algorithms. 

Currently, I am investigating how Bayesian optimisation and active learning, in combination with physics-informed Gaussian processes surrogate models, can help engineers and oceanographers to better understand ocean currents and inform their exploration strategies.

Research Interests

  • MCMC, SMC, Variational Bayes
  • Gaussian Processes
  • Sequential Experiment Design, Bayesian Optimisation, Active Learning
  • Diffusion Models, Computational Optimal Transport

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