Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high econom ....Data-led bioengineering to uncover hidden chemical wealth in bacteria. The soil bacteria Nocardia are an untapped source of industrially prized chemical compounds called natural products. This project aims to develop innovative bioprospecting genomics technologies built from the disciplines of microbiology, biochemistry and computational statistics to discover hundreds of new natural products in Nocardia. This project will unlock the diversity of potent new enzymes and molecules with high economic value that could include insecticides to protect crops, bioactives to fight diseases, or new enzymes for food and biofuel production. This research unlocks enormous hidden chemical potential in soil bacteria, to build sustainable national economic growth through innovative, high-value industrial chemical development.Read moreRead less
A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual perfo ....A new look at perceptual expertise: the attentional Gestalt framework. This project aims to propose and rigorously test a new, mechanistic framework for understanding how training and experience alters our capacity to perceive and engage in skilled visual processing. The project intends to explain why trained visual experts often rapidly perceive things that elude novices. Expected outcomes of the project include new knowledge about the key mechanistic features that underlie skilled visual performance. Intended benefits of this knowledge include the development of artificial systems and improved training environments to facilitate and enhance human expert visual processing.Read moreRead less
Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the internati ....Self-assembled phases as effective and selective materials for analysis. This project aims to develop a suite of self-assembled amphiphilic molecules to form distinctive materials for analytical chemistry. The cost-effective, easy to prepare, selective and environmentally benign materials will be for non-volatile bioactive and chiral molecular targets that are commonly encountered every day or are difficult to study. The project will open a new research area and will further uplift the international standing of Australia in the field. The project will provide a high level of training and expertise for Australia-based chemists.Read moreRead less
Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary ....Nanoelectromechanical Mass Spectrometry with Molecular Imaging. This project aims to develop new technology to enable simultaneous measurement of the mass and conformation of single molecules. Mass spectrometry and high-resolution microscopy are independent analytical tools used widely to characterise the chemical and physical properties of molecules. This project aims to develop new technology based on advanced nanoelectromechanical systems that combines the capabilities of these complementary instruments. This would enable synchronous measurement of molecular mass and conformation with nanometre resolution. In contrast to current mass spectrometry, this technology could be operated in fluid and detect neutral species. This significant change in capability could be applied to advance biological and medical research.Read moreRead less
Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks ....Architectural Design Across Spaces and Cultures: Technology and Language. This project addresses two significant productivity barriers facing Australia’s architectural practices; designing in spatially distributed and culturally diverse teams.
While design practices are central to sustaining Australia’s creative export sector, growing concerns associated with online, multilingual design teams have been identified.
Directly responding to Australia’s COVID-19 recovery plans, this research seeks to develop new knowledge about the cognitive, social and technical factors that shape the effectiveness of online international design teamwork. Its goal is to leverage the opportunities provided through technological advances and multicultural practices, to remove barriers to design productivity and enhance creativity.Read moreRead less
Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisatio ....Photodissociation mass spectrometry for lipidome analysis. This project aims to develop and apply novel bioanalytical mass spectrometry-based methods and workflows to illuminate the otherwise hidden structural diversity and molecular complexity of the lipidome. The structure of individual lipids define their specific biological functions. A major requirement of analytical methods employed for lipid analysis on a lipidome-wide scale, therefore, is to enable the detailed structural characterisation of the, potentially, tens of thousands of individual molecular lipid species that may be present within a sample of interest. This project will develop and optimise novel, ultraviolet photodissociation-tandem mass spectrometry methods which will be integrated within an automated lipidome analysis workflow, to enable comprehensive global lipidome profiling and to reveal the structural diversity of lipids involved in fundamental cellular signalling processes.Read moreRead less
Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect t ....Prior sensitivity analysis for Bayesian Markov chain Monte Carlo output. This project aims to develop the first set of techniques to implement an automated output sensitivity analysis for Markov Chain Monte Carlo (MCMC) estimation methods. Computationally intense Bayesian MCMC provide a powerful alternative to classical methods for the estimation of economic models. An obstacle to their wider application is that researchers need to specify prior beliefs about model parameters that will affect the results. The expected outcomes will enable researchers to undertake a routine assessment of the sensitivity of the results to prior inputs.Read moreRead less
The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions th ....The RGG/RG motif as an RNA chaperone: advancing CRISPR-Cas RNA technology. This project investigates the way in which protein molecules interact effectively with RNA molecules and also aims to enhance the CRISPR-Cas13a system for RNA detection. Innovative approaches will be used to test the role of a particular protein motif, called the RGG/RG motif, in remodelling RNA structure and enhancing the Cas13a protein. This knowledge is expected to shift our understanding of protein-RNA interactions that are fundamental to almost every aspect of cell biology. The project is intended to benefit Australia through contributing to fundamental knowledge in the field, facilitating the development of new CRISPR-Cas biotechnologies for RNA detection and through the training of young researchers in frontier technologies. Read moreRead less
Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bu ....Robust methods for heteroscedastic regression models for time series. What is the variability of the exchange rate of the Euro to the Australian dollar? Can the use of the electrocardiogram of a patient be improved as a diagnostic tool for heart disease? A well-known limitation of the existing statistical methods for answering these types of questions is that a small proportion of extreme observations have the potential to lead to results that are more in agreement with the outliers than with bulk of the data. As a consequence, the statistical analyses may lead to wrong conclusions. This project aims to develop new methodologies to solve this problem for a large class of studies. Applications to stock market risk, exchange rate, and diagnosis of heart diseases will illustrate the new methods.Read moreRead less
Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger eq ....Inverse problems with partial data. This project aims to use mathematics, in particular the theory of micro-local analysis, to determine the amount of measurements one needs in order to reconstruct an image by some of the tomography methods commonly used in medical imaging. Expected outcomes of this project include showing that an arbitrarily small set of boundary measurements is sufficient to reconstruct the coefficients of various important partial differential equations such as Schrodinger equation, Dirac operators, and Maxwell equations. In addition to providing a theoretical foundation upon which one can build numerical algorithms, this project will also provide the missing link between inverse problems and unique continuation theory. The downstream impact of this research will lead to more efficient and accurate tomography methods which can be implemented in a range of imaging applications.Read moreRead less