CURRICULUM VITAE

Position

Ph.D. Student in “Applied Statistics”
Research Area

Evolutionary Statistics and Data Mining
Focus Area

Neural Networks, Statistical Modeling, Evolutionary Algorithms, Optimization Problems, High Dimensional Analysis, Optimization Algorithms for High Dimensional Problems
Short Bio

Davide De March is a PhD student of “Applied Statistics” at the department of statistics of the University of Florence. He graduated in 2007 at university of Ca’ Foscari, defending his thesis “Bayesian networks to define an optimal experimental design”. His interests are optimality and evolutionary algorithms for high dimensional problems, and currently he’s developing bio-inspired algorithms, in particular neural networks, to tackle that kind of problems.
Current research projects give him the opportunity of applying his new methodologies in collaboration with chemical laboratories at the design of experiment for high-throughput experimentation.