Daniel Kennedy

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Qualifications

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

Position

PhD candidate, Statistical Science, Queensland University of Technology

About

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

Contact

Please feel free to contact me (verification by reCAPTCHA required):
d…@outlook.com

One thought on “Daniel Kennedy

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

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