Cheng Soon Ong1
Scientific research is an iterative process alternating between a set of laws about the natural world (domain knowledge), and a set of measurements of the phenomenon (data). One key part of the process is the creativity of the research scientist. As computing, machine learning and artificial intelligence become more common, many parts of modern life are affected. The current scientific method (that goes back 400 years to Francis Bacon) is likely to change, and hence CSIRO is well placed to drive this through the MLAI FSP.
Instead of aiming at replacing the scientist, the MLAI FSP aims to augment the abilities of a scientist by using machine learning and artificial intelligence to improve both: extracting knowledge from data, and using domain knowledge to generate better data. This talk invites you to imagine what it means to embed computing into the scientific process. To imagine what it means to do research in the natural and social sciences, by taking advantage of the advances in data collection, computing infrastructure, and intelligent systems.
Cheng Soon Ong is a Principal Research Scientist at the Machine Learning Research Group. He is also an adjunct associate professor at the Australian National University, and an honorary research fellow at the University of Melbourne. Cheng Soon Ong completed his PhD in Computer Science at the Australian National University in 2005. He then was a postdoc at the Max Planck Institute of Biological Cybernetics and the Friedrich Miescher Laboratory in Tübingen, Germany. From 2008 to 2011, he was a lecturer in the Department of Computer Science at ETH Zürich, and in 2012 and 2013 worked in the Diagnostic Genomics Team at NICTA in Melbourne. Since 2014, Cheng Soon Ong is doing research with the Machine Learning Group in NICTA Canberra. Prior to his PhD, he researched and built search engine and Bahasa Malaysia technologies at Mimos Berhad, Malaysia. Cheng Soon Ong obtained his B.E. (Information Systems) and B.Sc. (Computer Science) from the University of Sydney, Australia.