David Ascher

Lab Head

Group Leader, Structural Biology and Bioinformatics, Baker Heart and Diabetes Institute, Australia; Group Leader, Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, Australia; Director, Australian Society for Medical Research; Honorary Senior Fellow, University of Cambridge, UK; Professor, Centro de Pesquisas René Rachou, FIOCRUZ - Minas, Brazil; PhD Board, Tuscan University Network, Italy;

Douglas Pires

Baker Institute and School of Computing and Information Systems

Moshe Olshansky

Research Officer

Raghad Al-Jarf

PhD Candidate

Project: Using machine learning to improve our understanding, and personalizing treatment of cancer.

Malancha Karmakar

PhD Candidate

Project: Integrating structural and epidemiological modelling to identify which Tuberculosis resistance mutations are likely to arise in a population.

Yoochan Myung

PhD Candidate

Project: Using graph-based signatures to guide antibody engineering and epitope identification.

Stephanie Portelli

PhD Candidate

Project: The structural characterisation of drug resistance in infectious and non-infectious diseases.

Carlos Rodrigues

PhD Candidate

Project: Characterising the molecular properties of protein-protein interaction interfaces in order to understand the role of disease mutations and better guide development of PPI modulators.

Michael Silk

PhD Candidate

Project: Using population genetic diversity to characterise the mutational tolerance of a given gene, to identify pathogenic variants and structurally and functionally important regions of the protein.

Joao Velloso

PhD Candidate

Project: Computational guided GPCR engineering and drug development.

Joicymara Xavier

PhD Candidate

Project: Investigation of the interaction between multiple mutations on protein stability and function.

Raihaneh Aghaie


Network based approaches to predict disease outcomes and drug repurposing.

Mi-Chi Lee


Mi-Chi is exploring combining machine learning with phenotypic screening to improve drug development.

Mengyuan Shen


Predicting the pathogenicity and patient outcomes of BRCA1/2 mutations.

Parth Trehan


Using machine and deep learning to process medical imaging data. Building new tools for improved automated analysis and diagnosis from medical images.

Ted Airey

Honours Student

Structural characterisation of ALS disease mutations to predict disease progression.

Elston D'Souza


Identification and characterisation of proteins under different selective pressures between ethnic populations.

Vittoria Cicaloni

PhD Student (Visiting)

Anna Visibelli

PhD Student (Visiting)

Anjali Garg

Research Visitor

Project: Predicting antimicrobial peptides.

Hardik Parate

Research Visitor

Mapping the drugability of protein surfaces.

Lucy Barr

Research Visitor

Marialena Michanetzi

Project: Structural characterisation of Mycobacterium tuberculosis streptomycin resistance variants in gidB.

Amanda Albanaz

Project: Structural characterisation of ALS disease mutations to predict disease progression.

Aaron Barnard

Project: Mapping population variation in malaria.