Revolutionising Genome Analysis with Machine Learning and Cloud Computing

Date and Time:

December 15, 2020, 1 – 2 pm SGT

Speaker:

Dr. Natalie Twine, Transformational Bioinformatics Group, CSIRO

Abstract:

Dr. Natalie Twine provides an insider’s view into the development of a Spark-based machine learning framework that is able to find disease genes in the 3 billion letters of the genome. She will also cover novel software, TRIBES, developed to uncover distant relatives based on their genome. Knowing relationship status is important for diagnosing and treating genetic diseases. Natalie will showcase how the technology has been used to understand and find treatments for motor neurone disease. Finally, Natalie will showcase hot-off-the-press cloud-native technology where CSIRO have advanced the COVID-19 response through digital health.

About Speaker:

Dr Natalie Twine is team lead of the Genome Insights team at CSIRO who focus on developing technology for population-scale genomics. Dr Twine’s research career to date has focused on translational and clinical genomics and she is passionate about using technology to impact health and understand complex disease. Dr Twine thrives on collaborative research and collaborates with Macquarie University, the International Project MinE consortium and others. Her publication record is strong, with 26 peer-reviewed publications, over 1030 citations and h-index of 14. Dr Twine has presented at numerous international conferences including ISMB 2019 (Switzerland) and MND Symposium 2019 (Perth). She obtained her PhD in Bioinformatics from University of New South Wales and has previously worked at UNSW, Kings College London and University College London.