David Ascher
Lab Head
Team
John-Luis Moretti
EA
Douglas Pires
Baker Institute and School of Computing and Information Systems
Thanh-Binh Nguyen
Research Officer
Research interests: computational biology, particularly, the integrative study of proteomics, protein structures, and their functions, virtual screening.
Alex de Sa
Research Officer
Research Interests: Automated and semi-automated learning
Moshe Olshansky
Research Officer
Research interests: Statistical analysis of 'omic data
Raghad Al-Jarf
PhD Candidate
Project: Using machine learning to improve our understanding, and personalizing treatment of cancer.
Saba Ifkhar
PhD Candidate
Project: Exploring cardiotoxicity risk factors.
Malancha Karmakar
PhD Candidate
Project: Integrating structural and epidemiological modelling to identify which Tuberculosis resistance mutations are likely to arise in a population.
Bruna Moreira
PhD Candidate
Project: Predicting epitopes and their clinical use
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.
Korawich Uthayopas
PhD Candidate
Project: Predicting non-coding RNA disease associations
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.
Wesley Lam
Masters
Project: Predicting activity of small molecules against neglected tropical diseases
Yangyang Long
Masters
Project: Building small molecule toxicity predictors
Qisheng Pan
Masters
Project: Evaluation of the dependencies of structure based predictive tools
Elston D'Souza
Honours
Project: Identification and characterisation of proteins under different selective pressures between ethnic populations.
Emily Yunzhuo Zhou
Honours
Project: Predicting and identification of different classes of kinase inhibitors
Zachary O'Brien
Researcher
Project: Application of statistical and machine learning analysis of ICU data to improve patient outcomes
Azadeh Alavi
Research interests: Application of machine learning to clinical data. Image based machine learning.
Marialena Michanetzi
Marialena did her Masters of Bioinformatics project with us in 2017-2018, looking at the structural characterisation of Mycobacterium tuberculosis streptomycin resistance variants in gidB.
Mi-Chi Lee
Mi-Chi did her Masters of IT with us in 2019, combining machine learning with phenotypic screening to improve drug development.
Mengyuan Shen
Project: Predicting the pathogenicity and patient outcomes of BRCA1/2 mutations.
Parth Trehan
Project: Using machine and deep learning to process medical imaging data. Building new tools for improved automated analysis and diagnosis from medical images.
Ted Airey
Structural characterisation of ALS disease mutations to predict disease progression.
Amanda Albanaz
Amanda did her undergraduate and Masters of Bioinformatics with us 2016-2018 looking at the structural characterisation of ALS disease mutations to predict disease progression. She is now pursuing her PhD at the University of Ostrava, Czech Republic.
Aaron Barnard
Aaron did his undergraduate project with us in 2018 looking at mapping population variation in malaria. He is now studying medicine at Melbourne University.
Vittoria Cicaloni
Vittoria joined us in 2019 to work on the structural analysis of genetic disease causing variants. She is now completing her PhD research programme at the University of Siena.
Anna Visibelli
Anna joined us in 2019 to work on an automatic modelling pipeline. She is now completing her PhD research programme at the University of Siena.
Anjali Garg
Anjalia completed her summer internship in the group in 2019. She developed a method to predict antimicrobial peptide activity. She is now looking forward to starting her PhD in the US.
Hardik Parate
Hardik worked with the group in 2019 to develop a method to map the drugability of protein surfaces.
