Olivia Angelin-Bonnet is a Statistical Scientist at The New Zealand Institute for Plant and Food Research Limited (Palmerston North, New Zealand). She completed a Ph.D. (Statistics) at Massey University, investigating the genotype and phenotype relationships in polyploid organisms using multi-omics integration and causal inference. She then worked as a Lecturer in Applied Statistics at Massey for a year and a half, before joining the current institute. Her interests are systems biology, omics data analysis and integration, and the study of biological networks from a statistical and computational perspective.
Matthieu Vignes is a statistician with the School of Mathematical and Computational Sciences at Massey University (New Zealand). He studied Applied Mathematics/Statistics at the ÉNS Lyon (France) and then completed his Ph.D. in Grenoble at INRIA Rhone-Alpes (France). Matthieu worked as a Statistician with BioSS (Biomathematics and Statistics Scotland) in Dundee and Aberdeen (Scotland) from 2006 to 2009 and as a Research Fellow at INRAE-Toulouse (France; secondment position). His research keywords include probabilistic graphical models, high-dimensional (biological) data, gene network inference, causality, data integration, computational statistics, epidemiology, and complex systems.
Patrick J. Biggs is a Professor in Genomics and Computational Biology at Massey University. He completed a B.Sc. in Applied Biochemistry at the Brunal University of London and a Ph.D. in Human Cancer Genetics at the University of London. Before joining Massey University, he worked at the Baylor College of Medicine as a research associate in 1998–2001 and a Bioinformatics Team Leader at the Wellcome Trust Sanger Institute in 2001–2007. He then worked as a senior research fellow at the current university and became a professor. His research interests mainly focus on the pathogenomics and evolution of food-borne pathogens, in particular Campylobacter spp. and Escherichia coli, and also on functional bacterial genomics and metagenomics.
