Daniel Kennedy



Bachelor of Mathematics, Honours, QUT, December 2014
Thesis title: Analysis of a diffusion tensor image using Bayesian finite mixture modelling

Bachelor of Applied Science (Physics), QUT, December 2013


PhD candidate, Statistical Science, Queensland University of Technology


Daniel Kennedy uses Bayesian Statistical learning to analyse and interpret large and complex bioinformatic data sets.

His main interest is in estimating and interpreting the inheritance of DNA methylation, and its role in the heritability of traits and diseases.

Areas of Interest

  • Bayesian Statistics
  • Machine Learning
  • Microarrays
  • Epigenetics
  • Big Data methods


Please feel free to contact me (verification by reCAPTCHA required):


2 thoughts on “Daniel Kennedy

  1. Pingback: Congratulations Daniel Kennedy | Bayesian Research & Applications Group

  2. Pingback: Brag Meeting 7th June 2018 | Bayesian Research & Applications Group

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google+ photo

You are commenting using your Google+ account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s