Calculated based on number of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Research Interests

  • Bayesian and non-parametric inference
  • Hypothesis testing and model selection
  • Multi-dimensional diffusion processes
  • Cluster detection and fibre analysis
  • Graph-based embedding


In 2021, I joined Coventry University as a Lecturer in Mathematics and Statistics. My current research interest involves developing methods for the analysis of graph-based embeddings.

I was previously a Research Associate at the University of Bristol, where I investigated Bayesian and machine-learning-based analysis of super-resolution microscopy data. I also worked on anomaly detection for internet traffic routing changes in collaboration with the NCSC. I received my PhD from University College London in 2013 on the topic of Bayesian non-parametric inference for multi-dimensional diffusion processes.

I have taught courses in analysis, probability, statistics, and mathematical programming at the University of Bristol, the London School of Economics and University College London.


  • 321MP Advanced Topics in Statistics
  • 220MP Linear Statistical Models
  • 331MP Project

Education/Academic qualification

Statistical Science, Doctorate, University College London

Mathematics and Statistical Science, Degree, University College London


Dive into the research topics where Tjun Hoh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

External collaboration on country/territory level for the past five years. Dive into details by clicking on the dots or