Jonathan Keith

Assoc Professor


Research activity per year

Personal profile


Jonathan works in the School of Mathematical Sciences at Monash University as a Senior Lecturer

Jonathan is a researcher in Bayesian methods, bioinformatics and genetic epidemiology. His current main research interest is in statistical methods for the detection of novel non-protein-coding functional elements in genomes. He also has current and recent projects in phylogenetics, whole genome association studies and identification of quantitative trait loci.

He is currently a chief investigator on two ARC Discovery grants: Statistical methods for detection of non-coding RNAs in Eukaryote Genomes and Statistical methods for discovering RNAs contributing to human diseases and phenotypes.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

Research area keywords

  • Bayesian methods
  • Bioinformatics
  • Genetic epidemiology

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or