Alessandra Carbone
Photo J-F Dars

 

Alessandra CARBONE


ANALYTICAL GENOMICS LAB
Computational and Quantitative Biology Unit, UMR 7238
CNRS - Sorbonne Université
Pierre and Marie Curie Campus– Building C, 4th floor
4, Place Jussieu, 75005 Paris, FRANCE


Tel. office : +33 (0)1.44.27.73.45
Tel. Assistant (Naomi Mackagny): +33 (0)1.44.27.20.67
Fax. +33 (0)1.44.27.73.36

Alessandra DOT Carbone AT lip6 DOT fr


 

Professor in Computer Science - Sorbonne Université
Senior member of the Institut Universitaire de France, 2013-2018, 2023-2028

Head of the Analytical Genomics lab, LCQB, CNRS-SU
Head of the Computational and Quantitative Biology Unit, UMR 7238 CNRS-SU

PhD in Mathematics from The Graduate School of the City University of New York, 1993. Postdocs at Université Paris 7 (1993-1995) and at Technische Universität Wien (1995-1996). Associate Professor at the Department of Computer Science, Université Paris 12, 1996-2003. Visiting Professor (on leave) at the Institut des Hautes Études Scientifiques, Bures-sur-Yvette, 2000-2003.


MAIN RESEARCH AREAS
(present and past)
Combinatorial and Statistical Methods in Molecular Biology
Deep Learning, Machine Learning and Algorithms in Computational Biology
DNA Nanotechnologies and DNA Tiling
Proof Theory and Complexity Theory
Graph Theory
Finite Automata and Symbolic Dynamics
Description of current projects


VIEWS
Prix Nobel de Chimie 2024: design des protéines et prédiction de leurs structures, deux facettes d'une même medaille - in The Conversation France - article addressed to the large public.
Réinventer la biologie
- in "Binaire: la science au coeur du numérique", Le Monde blog - interview on the impact of computer science in science and society
Desktop power helps map protein dance - interview in ScienceNode on our protein-protein interactions project
on women in mathematics (sur les femmes en mathématiques)
Proof Theory on the eve of the year 2000 (answer to Sol Feferman's invitation)


VIDEOS FOR THE LARGE PUBLIC
A starchy diet for Sapiens: when archaeology, paleoanthropology and genetics meet - A view on our research relating gene copy number variation in ancient genomes and the diet for Neandertals, Denisovans and ancient Sapiens (ANR project STARCH4SAPIENS).
What can protein tell us? - A view on our computational approaches to predict protein interactions, model protein social behaviour and infer the effect of mutations on protein interaction networks. To access the french and italian versions: Que peuvent nous dire les proteines ? - Cosa possono dirci le proteine?
Help Cure Muscular Dystrophy - live webcast with World Community Grid