Our people and research
Meet the team behind Melbourne Integrative Genomics and learn more about the research that drives them.
Research groups in Melbourne Integrative Genomics
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Lê Cao Lab – Director of MIG
Integrating biological -omics data (transcriptomics, proteomics, metabolomics, microbiome, metagenomics, single cell transcriptomics and multi-omics) with multivariate and dimension reduction methodologies and R software development.
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Yao-ban Chan lab
Application of mathematical and statistical methods to phylogenetics and evolutionary biology.
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Heejung Shim Lab
Statistical and computational approaches for the analysis of complex and large-scale genomic data with applications to functional genomics and molecular/trait evolution.
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Theoretical Systems Biology Lab
Studying living systems across the whole Tree of Life, ranging from bacteria to complex multicellular organisms, to understand fundamental questions in biology and to improve people’s lives.
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Eva Wang Lab
Developing statistical methods and computational tools for microbiome analysis in large-scale cohorts, aiming to identify microbial signatures of disease.
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David Balding Lab (Honorary)
Computational statistics applied to population, evolutionary, medical and forensic genetics
Our researchers
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Katalina Bobowik
Project title: Transcriptomic characterisation of immune and disease-related traits within Island Southeast Asia
Github link
Supervisor: Irene Gallego RomeroQian Feng
Project title: Phylogenetic modelling of malaria var genes
Github link
Supervisor: Yao-ban Chan/Heejung ShimAnubhav Kaphle
Project title: Statistical methods for trans-ethnic genetic studies
Google Scholar link
Supervisor: David BaldingAli Mahmoudi
Project title: Inference under the coalescent with recombination
Github link
Supervisor: David BaldingElisabeth Roesch
Project title: Hybrid modeling in Systems Biology
Github link
Supervisor: Michael StumpfGeorgia Tsambos
Project title: Statistical techniques for studying admixture and local ancestry
Github link
Supervisors: Damjan Vukcevic & Stephen LeslieDavide Vespasiani
Project title: Functional analysis of archaic variants in modern Indonesians
Google scholar link
Supervisor: Irene Gallego RomeroYiwen (Eva) Wang
Project title: Managing batch effects in microbiome data
Github link
Supervisor: Kim-Anh Lê Cao -
Al J Abadi
Bio: Al has an extensive academic and industrial background in computational science and modeling with versatile applications in Engineering, Pharmaceutics, and Computational Biology. His research at MIG is primarily focussed on novel approaches in multivariate integrative data analysis methods with applications in high-throughput single-cell sequencing technologies.
GitHub link
Supervisor: Kim-Anh Lê CaoChristina Azodi
Bio: Working at the interface of data science and bioinformatics to study the effects of DNA variation on gene expression at the single-cell level.
GitHub link
Supervisor: Davis McCarthyAshley Farlow
Website
Google scholar link
Supervisor: Stephen LeslieAnissa Guillemin
Project title: Stochastic gene expression implications in cell fate decision-making.
Bio: I did my PhD in Biology in the Laboratory of Biology and Cell Olivier Gandrillon. We developed research projects with multidisciplinary approaches with particularly interest in understanding cell decision-making. Since February 2019, I have been working as a Postdoctoral Research Fellow in the Theoretical Systems Biology group at MIG with Michael Stumpf (Group Leader).
Google scholar link
Supervisor: Michael Stumpf -
- Marko Terzin, PhD candidate, James Cook University, May – July 2023.
- Yi-Wen Hsiao, PhD candidate, July 2022 – July 2023.
- Prof Ivy Chung, University of Malaya, April 2023.
- Quentin Le-Graverand, PhD candidate, INRAE Toulouse, Dec 2022.
- Pedro Salguero García, PhD candidate, Polytechnical University of Valencia, Dec 2022.
- Attila Csala, PhD candidate, University of Amsterdam, Nov 2019 – March 2020.
- Prof Malu Calle Rosingana, University of Catalunya, January 2019.
- Stijn Hawinkel, PhD candidate, Ghent University, March – May 2019.
- Garrett Hellenthal (University College London, UK), April-June 2019.
- Murray Cox (Massey University, New Zealand), February-March 2019.
- Hanaisa Sant'Anna de Pla (Universidade Federal de Minas Gerais, Brazil), August 2018-August 2019.
- Sebastien Dejean (Toulouse University, France), July-August 2018.
- Jukka Corander (University of Oslo and University of Helsinki, Finland), December 2017-January 2018; November 2019.
- Tatiana Hessab (Perito Criminal do IPPGF, Rio de Janeiro Area, Brazil) - July 2017-January 2018.
- Laetitia Cardonnna (IRSTEA, France), November-December 2017 & April 2019.
- Olivier Chapleur (IRSTEA, France), September-December 2017 & April 2019.
- Solange Pruilh (INSA Toulouse, France), July-September 2017.
- Doug Speed (Aarhus University, Denmark), April-May 2017.
- Paul O'Reilly (King's College London, UK), April 2017.
- John Whittaker (GSK, UK), April 2017.
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Damjan Vukcevic
Dr Vukcevic is currently an Associate Professor at the Department of Econometrics and Business Statistics at Monash University.
Andrew Siebel
Dr Siebel is now the Manager of the Melbourne Data Analytics Platform.
In memory of Bobbie Shaban
Associate members of MIG

Professor Anthony J. Hannan
Research Lead, Mental Health Mission, Florey Institute of Neuroscience and Mental Health, The University of Melbourne

Professor Christine Wells
Stem Cell Systems, Department of Anatomy and Physiology, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne

Professor Mark Dawson
Sir Peter MacCallum Department of Oncology, Centre for Cancer Research, The University of Melbourne | Head, Cancer Biology & Therapeutics Program, Head, Cancer Epigenetics Laboratory

Dr Gerry Tonkin-Hill
Peter MacCallum Cancer Centre and the Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity

Associate Professor Michael Menden
Associate Professor in Biochemistry & Pharmacology, Biochemistry and Pharmacology, The University of Melbourne

Professor Alicia Oshlack
Head of Computational Biology, Peter MacCallum Cancer Centre, School of Mathematics and Statistics, The University of Melbourne