A new scientific
truth does not triumph by
convincing its opponents and making them see the light, but rather
because its opponents eventually die, and a new generation grows up
that is familiar with it.
I'm a postdoc fellow at INRIA Lille - Nord Europe, where I'm a member of the MAGNET research team. Besides research, I like engaging in a variety of quite sophisticated activities, such as eating, eating, or eating (and sometimes even drinking).
My general research area is machine learning, with special emphasis on statistical learning techniques using graphical models. Thus far, my research has been mainly focused on scalable algorithms for learning probabilistic graphical
models, with applications to pattern recognition, link prediction, and learning to rank. Since about one year I'm working on statistical and spectral approaches for large-scale random networks. To get a
better more confusing idea of what I'm interested in, you can have a look at some of my publications.
My (almost) complete CV is available here as a pdf file.
My office at INRIA is located in the parc scientifique de la Haute-Borne, 40 avenue Halley - Bāt A - Park Plaza, 59650 Villeneuve d'Ascq - France (map). If you wish to contact me, please write an email to antonino.frenoinria.fr.