Dr Tu Le applies computational approaches to engineer novel materials for use in pharmaceuticals and bioactive materials, medical imaging, tissue engineering and aircraft applications.
materials science and engineering; nanomaterials; computational approaches; machine learning; molecular simulations
Dr Le has extensive experience utilising computational approaches like machine-learning modelling (artificial neural networks) and molecular dynamics simulations. She uses these approaches to design, develop and engineer a broad range of novel materials, from drugs and bioactive materials to other smart materials for use in medical imaging, tissue engineering and aircraft applications.
Dr Le earned her PhD in 2010 at Swinburne University of Technology where she worked on hyper-branched polymers. She has a strong record of publication in high-impact journals like Chemical Reviews and Chemical Society Reviews. Two of her papers have been cited more than 100 times since their publication in 2012.
Dr Le also has active collaborations with colleagues at CSIRO and universities in Australia, the UK, the US, China, and Singapore, and with industry partners Boeing and Air Liquide. She has received many awards and grants, including the joint Japanese Society for the Promotion of Science and Australian Academy of Science grant which took her to Tokyo for the HOPE meeting to network with six Nobel Laureates.
Dr Le was awarded a Vice-Chancellor’s Postdoctoral Fellowship in 2017 and is based in the School of Engineering.