Matteo Borrotti obtained a Bachelor's degree (2003) and a Master's degree (2006) in Statistics at the University Ca' Foscari of Venice. His thesis focused on the combination of experimental design (DoE) techniques and the genetic algorithms to find the optimal combination for high dimensional biochemical experimentation.
In 2006/2007 he attended the Second level International Master in Computational and Systems Biology at the Microsoft Research - University of Trento Centre for Computational and Systems Biology.
In March 2011 he obtained a PhD in Statistical Methodology for Scientific Researches at the University of Bologna with the special label of "Doctor Europaeus". During his phd period, he spent a period at the Institut de Recherches Interdisciplinaires et de Développements en Intelligence Artificielle (IRIDIA) under the supervision of Thomas Stützle.
His researches mainly focus on stochastic local search algorithm, evolutionary design of experiments, statistical models for high dimensional problems and the combination of these methodologies for new optimization approaches for complex systems.
From 2007, he collaborates with the European Centre for Living Technology (ECLT) for different projects:
- Programmable Artificial Cell Evolution (PACE);
- Designing Informative Combinatorial Experiments (DICE).