• Research Manager - Andrew Siebel

    Andrew completed his undergraduate BSc(Hons) degree in Zoology and Physiology at The University of Melbourne (1996-1999). His PhD was in the field of Reproductive Endocrinology enrolled through the Department of Zoology, the University of Melbourne and Howard Florey Institute. Andrew then received a prestigious NHMRC Early Career Research Fellowship (2005-2009) to work on developmental programming of adult disease in the Department of Physiology. He moved to the Baker IDI Heart & Diabetes Research Institute in 2009 to work firstly in the Human Epigenetics laboratory, then the Metabolic and Vascular Physiology laboratory (2010-2015). His research interests include cardiovascular physiology, glucose metabolism, lipid biology and interventional clinical trials.

  • Genomic Data Specialist - Bobbie Shaban

    Originally from Perth, Bobbie obtained a double degree in Molecular Biology and Computer Science at Murdoch University. He has worked in a number of Bioinformatics roles including as a bioinformatics officer at the Centre for Comparative Genomics at Murdoch University, the Health Protection Agency UK (Now Public Health England) where he worked on The FF100 Swine flu database and also the Enteric Molecular Typing Network for the 5 nations and at the Australian Genome Research Facility here in Melbourne. In previous roles he was the administrator of the Cluster scheduling software (Sun Grid Engine) and was a Bioinformatician specialising in Genomic Assembly, RNA virus discovery, High performance computing and software pipeline optimisation.  He also has experience in Web development, Database admin and creation, a number of computing languages including PERL, PHP and the MVC Frameworks Laravel and Ruby on Rails.

    Follow Bobbie's MIG I.T. blog here.

  • PhD Students

    Katalina Bobowik


    Project title: Transcriptomic characterisation of immune and disease-related traits within Island Southeast Asia
    Github link
    Supervisor: Irene Gallego Romero

    Qian Feng


    Project title: Phylogenetic modelling of malaria var genes
    Github link
    Supervisor: Yao-ban Chan/Heejung Shim

    Anubhav Kaphle


    Project title: Statistical methods for trans-ethnic genetic studies
    Google Scholar link
    Supervisor: David Balding

    Ali Mahmoudi


    Project title: Inference under the coalescent with recombination
    Github link
    Supervisor: David Balding

    Elisabeth Roesch


    Project title: Hybrid modeling in Systems Biology
    Github link
    Supervisor: Michael Stumpf

    Georgia Tsambos


    Project title: Statistical techniques for studying admixture and local ancestry
    Github link
    Supervisors: Damjan Vukcevic & Stephen Leslie

    Davide Vespasiani


    Project title: Functional analysis of archaic variants in modern Indonesians
    Google scholar link
    Supervisor: Irene Gallego Romero

    Yiwen (Eva) Wang


    Project title: Managing batch effects in microbiome data
    Github link
    Supervisor: Kim-Anh Lê Cao

  • Postdocs

    Christina 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 McCarthy

    Ashley Farlow


    Google scholar link
    Supervisor: Stephen Leslie

    Anissa 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 Modeling at the ENS of Lyon (France) in 2018, under the supervision of 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). Our work is focused on understanding the mechanisms behind the stochastic gene expression during cell processes, such as stem cell or progenitor differentiation using single cell data analyses and modeling.

    Google scholar link
    Supervisor: Michael Stumpf

    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. His numerical research experience includes application of various discretisation methods and Direct Numerical Simulation to linear and non-linear partial differential equations, as well as population Pharmacokinetics modelling using non-linear mixed-effects models.

    GitHub link
    Supervisor: Kim-Anh Lê Cao


Christine Azodi
Laura Cook 
(PhD - Gallego Romero)
Lucy Ham
Megan Coomer
(PhD - Stumpf)
Sudaraka Mallawaarachchi
Leo Diaz
(PhD - Stumpf)
Allan Motyer
Anna Farre Orteu
(PhD - Gallego Romero)
Puxue Qiao
Chengyu Li
(PhD - Balding)
David Squire
Qiuyi Li
(PhD - Chan)
 Jeff Paril
(PhD - Balding)
 Matthew Silcocks
(PhD - Leslie/Farlow)
 Yupei You
(PhD - Shim)
 Joshua Forrest
(PhD - Stumpf)
Recent Visitors 
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


Melbourne Integrative Genomics (MIG), The University of Melbourne, welcomes applications to become an Associate Member (AM). AMs can be researchers at the University of Melbourne or other Parkville research institutes, or any others who have research interests relevant to integrative genomics and can benefit from and contribute to MIG as indicated below.

Meet our Associate Members

Benefits of AM status can include:

  • Help with UoM Honorary or Visiting Researcher status where appropriate
  • Card access to MIG space
  • Hot desk space for group leaders (shared office)
  • Hot desk space for students & postdocs (open offices)
  • Use of meeting room or other bookable rooms
  • Infrastructure access (computing allocation)
  • Opportunity to contribute to the planning of, and to participate in, MIG activities (such as workshops and seminars)

In return, AMs are expected to:

  • Contribute to MIG activities
  • Develop collaborations with Core research group members
  • If MIG’s resources are used, appropriate affiliation should be included in publications
  • Provide photo and brief bio for website
  • Contribute to MIG annual reporting as requested

Interested in becoming an Associate Member? Contact the Research Manager for more information.

High Performance Compute cluster [MIG partition]

Managed by Bobbie Shaban (Genomic Data Specialist)

384 cores, 3.1Tb RAM, 200Tb storage
Administered by Research Platform Services, University of Melbourne.