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Marco Chierici is a research scientist at FBK with a Ph.D. in Bioengineering. He is expert on bioinformatic tools for the analysis of high-throughput biological data, as well as on scientific programming with R and Python. Among his research interests is the application of artificial intelligence methods (i.e., deep learning) to computational biology. At MPBA he has been responsible of next-generation sequencing bioinformatic pipelines since 2008, also developing methods for reproducibility of analyses. He was scientific chief instructor of WebValley 2009 and 2014.
Gianluigi Pillonetto; Giuseppe De Nicolao; Marco Chierici; Claudio Cobelli,Fast algorithms for nonparametric population modeling of large data sets,in «AUTOMATICA»,vol. 45,2009, pp. 173 -179
A. Barla; G. Jurman; S. Riccadonna; M. Chierici; S. Merler; C. Furlanello,in «BRIEFINGS IN BIOINFORMATICS»,vol. 9,n. 2,2008, pp. 119 -128