People

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.

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.

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

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

Website
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