Introduction to Machine Learning for Biology

Presented by COMBINE Canberra, CSIRO, and ANU Research School of Biology.
Machine learning is becoming an increasingly useful tool for researchers with applications in the fields of genomics, phylogenetics and ecology. We interact with software that uses machine learning every day, from Facebook’s facial recognition to Spotify’s music recommendations.

The aim of this event is to introduce biologists to the field of machine learning and provide opportunities to build collaborations with machine learning experts.

Show us your data!
Machine learning experts from ANU Computer Science and NICTA will be on hand to provide advice on how machine learning methods could be applied to your dataset.

We will have opportunities for researchers to present a 5 min presentation of their biological questions and data. If you are interested in classification of complex samples, feature extraction (from images or audio) and quantification, or identifying cryptic sub-groups in your data, we can help.

If you have a dataset you would be interested in asking our panel about, please contact us via to confirm a presentation time.
Are you already using machine learning methods on biological datasets? We want to hear from you!
We will be showcasing successful examples of machine learning being used to solve problems in biology, including image processing, bioacoustics and sequence analysis.

If you would like to present your work in this session contact us via
Sessions on the day:

  • Seminars introducing machine learning and the different techniques
  • Q&A Sessions with a panel of experts
  • Interactive demonstration of a machine learning workflow
  • Case studies where machine learning has been applied to biological data

Machine learning expert panel:

  • Stephen Gould (ANU)
  • Cheng Soon Ong (NICTA)
  • Mark Reid (ANU/NICTA)


Date & time

9.30am–4.30pm 13 November 2015


Slatyer Theater, RN Robertson Building, 46, ANU


 COMBINE Canberra

Updated:  03 June 2020/Responsible Officer:  Director/Page Contact:  Coordinator