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Contact details +6469517654
Matthieu studied Applied Maths/Stats at the ENS Lyon (France) before doing his PhD in Grenoble (2007, INRIA Rhone-Alpes, France). He then joined BioSS in Dundee and Aberdeen (Scotland) from 2006 to 2009 as a Statistician. He then became a Research Fellow in the Maths and Comput. Sc. dpt of the INRAE-Toulouse (France) in 2009 (present: detached position).
Matthieu is now a Senior Lecturer in Statistical Genetics at Massey University (New Zealand).
Matthieu's work focuses on deciphering relationships between entities in a complex (e.g. biological) system; please have a look at his research interests.
My research is motivated by the understanding of the structure(s) which govern(s) the behaviour of complex systems. Mostly, I have been working with high-throughput data generated by biological organims, regarded as layers of components of different natures which interact with each other possibly fulfilling different goals.
To this end, I am interested in probabilistic graphical modelling as a convenient way of representing the system under study and how its constituting elements interact. I am often faced with high-dimensional data posing both statistical and computational challenges. Missingness in the data sets at hand can also be a hindrance. Data sets are heterogeneous (e.g. mixing discrete and continuous data), sampling is certainly not independent and identically distributed and off-equilibrium and measurements noisy.
Recently, I am moving towards a causal interpretation of learnt relationships, hopefully revealing realistic mechanisms which explain the inner functioning of the system.
I have also been involved in the study of epidemiological models at different scales.
Future Food Systems
Field of research codes
Applied Mathematics (010200): Applied Statistics (010401):
Artificial Intelligence and Image Processing (080100):
Biological Mathematics (010202): Biostatistics (010402):
Information And Computing Sciences (080000):
Mathematical Sciences (010000): Numerical and Computational Mathematics (010300): Optimisation (010303):
Pattern Recognition and Data Mining (080109):
Statistical Theory (010405): Statistics (010400): Stochastic Analysis and Modelling (010406)
Papers taught: (at Massey)
Please have a look at my research interest, and feel free to contact me, if you would like to do a project with us on the study of data generated from a complex system to decipher its structure. Note that projects range from quite applied to quite theoretical.
Main Supervisor of: