Modern biology is a data driven science, and classical models of genetics, disease and inheritance are being continually updated as new evidence comes to light. At the same time, advances in algorithms and computation have allowed researchers to analyse ever larger quantities of data.
This talk, targeted at early graduate students and early career researchers, will be about a personal journey of discovery in the biomedical sciences through the lens of machine learning.
After introducing a few basic ideas from machine learning, I will highlight several collaborations that illustrate the diverse advances in statistical and computational methods to be able to make sense of biomedical data.
Cheng Soon Ong
Thursday 27th February
RMIT, Swanston St, Melbourne
Building 80 (Swanston Academic Building)
Level 5, Room 12 (080.05.012)
Access via Swanston St
Tram: Stop 7 via routes 1, 3, 5, 6, 8, 16, 64, 67, 72
Train: Melbourne Central Station, walk along Swanston St towards Melbourne City Baths / Melbourne University
About Cheng Soon Ong
Cheng is a senior researcher at the Bioinformatics Group, National ICT Australia, located at the University of Melbourne.
His interests include enabling scientific discovery by extending statistical machine learning methods. He has developed new optimization methods for solving problems such as feature selection and structured output prediction, with the aim of solving scientific questions in collaboration with experts in other fields.
More information is available on his homepage: http://www.ong-home.my/
This event is sponsored by:
– ICT for Life Sciences Forum
– International Society for Computational Biology (ISCB)