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Prof David Ascher is currently an NHMRC Investigator and Director of the Biotechnology Program at the University of Queensland. He is also Head of Computational Biology and Clinical Informatics at the Baker Institute.

David’s research focus is in modelling biological data to gain insight into fundamental biological processes. One of his primary research interests has been developing tools to unravel the link between genotype and phenotype, using computational and experimental approaches to understand the effects of mutations on protein structure and function. His group has developed a platform of over 40 widely used programs for assessing the molecular consequences of coding variants (>7 million hits/year).

Working with clinical collaborators in Australia, Brazil and UK, these methods have been translated into the clinic to guide the diagnosis, management and treatment of a number of hereditary diseases, rare cancers and drug resistant infections.

David has a B.Biotech from the University of Adelaide, majoring in Biochemistry, Biotechnology and Pharmacology and Toxicology; and a B.Sci(Hon) from the University of Queensland, majoring in Biochemistry, where he worked with Luke Guddat and Ron Duggleby on the structural and functional characterization of enzymes in the branched-chain amino acid biosynthetic pathway. David then went to St Vincent’s Institute of Medical Research to undertake a PhD at the University of Melbourne in Biochemistry. There he worked under the supervision of Michael Parker using computational, biochemical and structural tools to develop small molecules drugs to improve memory.

In 2013 David went to the University of Cambridge to work with Sir Tom Blundell on using fragment based drug development techniques to target protein-protein interactions; and subsequently on the structural characterisation of proteins involved in non-homologous DNA repair. He returned to Cambridge in 2014 to establish a research platform to characterise the molecular effects of mutations on protein structure and function- using this information to gain insight into the link between genetic changes and phenotypes. He was subsequently recruited as a lab head in the Department of Biochemistry and Molecular Biology at the University of Melbourne in 2016, before joining the Baker Institute in 2019 and the University of Queensland in 2021.

He is an Associate Editor of PBMB and Fronteirs in Bioinformatics, and holds honorary positions at Bio21 Institute, Cambridge University, FIOCRUZ, and the Tuscany University Network.

Birgitta Ebert’s research focuses on developing biotechnology concepts to address critical challenges such as pollution, climate change and overexploitation of natural resources.

She specializes in improving microbial catalysts for eco-friendly chemical and material production by leveraging metabolic engineering, synthetic biology, systems analysis, and modelling. Her goal is to create microbial cell factories that convert renewable resources and waste into valuable products, reducing reliance on petrochemicals. She collaborates closely with chemists and chemical engineers to enhance the integration of chemical and biological processes for improved efficiency and sustainability.

Birgitta has a background in Chemical Engineering and a PhD in Systems Biotechnology from TU Dortmund University (Germany). She led a research group in Systems Metabolic Engineering at the Institute of Applied Microbiology at RWTH Aachen University (Germany) from 2012 to 2019. In 2016, she expanded her expertise in Synthetic Biology by joining the Keasling lab at the University of California in Berkeley and the Joint BioEnergy Institute in Emeryville (USA).

Since April 2019, she has been at the Australian Institute for Bioengineering and Nanotechnology at the University of Queensland, applying her expertise to engineer microbial cell factories for fermentation-based manufacturing.

I am a computational biologist with a centre-wide research role in the ARC Centre of Excellence for Plant Success in Nature and Agriculture, based here at UQ. I spend my time researching new computational techniques for predicting complex quantitative traits by integrating multiple layers of 'omics data (amongst dozens of other things!).

Areas of interest:

• Machine Learning, AI and high performance computing to learn and exploit functional connectivity in biological data
• Gene Expressions networks
• Multiplex networks, information propagation and perturbation
• Genomic Prediction

My goal is to aid crop and forestry breeders in selecting parental lines more accurately, which gives us a pathway to improving certain plant species. I also spend time developing new data analysis techniques that are being applied to human disease and conditions such as Autism and substance addiction.

David completed his PhD at Australian National University in 2017, focusing on the genome-wide basis of foliar terpene variation in Eucalyptus. He then undertook a postdoc at Oak Ridge National Laboratory, a US Dept of Energy lab with a focus on big data. After a stint as a staff scientist at Oak Ridge, David arrived at the Centre of Excellence in 2023 in the role of a Senior Research Fellow.