Ruiyang Zhang

PhD student

Research Overview

I am broadly interested in computational statistics and machine learning methodologies, and their applications in scientific and engineering disciplines. In particular, I aim to develop methodologies with strong relevance to applications.

Currently, I am investigating sequential Bayesian experiment designs (such as active learning and Bayesian optimization) and their application in oceanographic sensor deployment. I am also actively thinking about other tasks that could be improved using experiment design, or could be cast as a design problem.

  • STOR-i Centre for Doctoral Training