RCC eResearch Analyst Dr Nick Hamilton has been in demand lately with invites to present talks on machine learning and bio-imaging at local, national and global events.
The European Light Microscopy Initiative invited Dr Nick, who is also a UQ Institute for Molecular Bioscience (IMB) bioinformatician, to run a machine learning and bio-imaging workshop as part of the Global BioImaging Training course on “Challenges in image data management and analysis”, in Sydney, 19–21 September.
Dr Nick guided participants from core imaging facilities from around the world through using recent techniques in machine learning for analysis and segmentation of bio-imaging.
On 13 September, Dr Nick gave an invited talk on deep learning for medical discovery for the Brisbane Artificial Intelligence Meetup group. More than 100 people signed up for the event held in Fortitude Valley.
Dr Nick discussed three IMB research projects using machine learning and deep learning for bio-imaging, including one of his student’s work on automating skin cancer diagnosis, which RCC has written about as a case study and was also covered by GPU (Graphics Processing Unit) manufacturer NVIDIA.
The Australian Bioinformatics and Computational Biology Society (ABACBS) has invited Dr Nick as a keynote speaker for its national conference at the University of Melbourne on 26–28 November.
Dr Nick joins a line-up of four national speakers, four international speakers and two special guest invited speakers. For his talk, he will discuss his group’s recent work on using 3D imaging to discover the mathematical rules for the growth pattern of the kidney’s ureteric tree.
“With exciting new imaging technologies, such as Lattice Light Sheet Microscopy, regularly being developed and deployed in research institutions across the world [including UQ], it is becoming increasingly important to create novel methods in quantification, modelling and large-scale analysis pipelines to find the full value in the data they are generating,” said Dr Nick. “I am very excited to be invited by ABACBS to share my insights and experiences in bio-imaging and modelling with the wider bio-research community.”
