Francesca Cordero obtained her Laurea degree in Biological Science at the University of Torino in 2004. In 2008, she obtained her PhD with a scholarship from the Fondazione Cassa Risparmio Torino (Lagrange project) in Computer Science at the University of Torino. The PhD's thesis was in Graphical models for the prediction of transcription factor binding sites, where a method was developed allowing one to infer the binding site of a TF from DNA-protein interaction structures. The interaction information is obtained from X-ray diffraction and Nuclear Magnetic Resonance (NMR) experiments. The probabilistic representation of the DNA-protein interaction is improved by using probabilistic graphical models, Markov Random Fields and Bayesian Networks. This was the first time that extensive structural information has been exploited to predict TFBSs.
She spent 6 months at the Department of Genetics, Center for Genome Sciences, Washington University Medical School in St. Louis, (USA), where she carried on her research activity under the guidance of Professor Gary Stormo.
From 2008, she works on application of stochastic models for systems biology, in particular using Petri Nets. Moreover she works on Next Generation Sequencing algorithms for mapping and counting.
In 2011 she spent 3 months at the Department of Computer Science, University of California Riverside (USA) under supervisor of Professor Gianfranco Ciardo and Professor Stefano Lonardi.
Francesca in December 2011 became a researcher at Department of Computer Science, University of Torino.