Edoardo Saccenti is researcher at the Wageningen University & Research within the Laboratory of Systems and Synthetic Biology.

His research interests focus on the development and application of statistical and chemometrics methods in the context of system medicine, systems biology, metabolomics and bacterial genomics.

His topics in methodology and theoretical research are i) Principal components analysis and related methods with a focus on the problem of dimensionality assessment and its relationships with inferential statistics in the frame of Random Matrix Theory; ii) power analysis and sample size determination in the context of PCA, PLS-DA and network inference; iii) development of new semantic tools for data exploration and integration.

Main lines of applied research are i) the modelling of interindividual differences and individual phenotypes in both health and disease through the integration of statistics, biological network inference and analysis and mathematical modelling; ii) investigation of host-pathogen interaction in the context of sepsis and other bacterial infections. iii) modelling of bacterial diversity and bacterial ecology combining bioinformatics approaches with multivariate statistical modelling. iv)  data driven computational approaches for patient stratification through semantic integration

He is recipient of the Kowalski prize 2017 for best applied chemometrics paper.

From September 2108 he is in the Editorial Board of the Journal of Chemometrics

A personal note: I came to chemometrics through metabolomics during when PhD students and I am active in the filed for almost 15 years. My preferred method is definitely PCA for its universality and for being at the interface of chemometrics and statistics. In the future I see chemometrics to be integrated in the systems biology as a fundamental tool to investigate complex data. I am looking forward to SCC to discover new tools and applications or to rediscover exiting tools in a vibrant and inspiring networking atmosphere.