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Mosca Ettore
foto personale

Ciclo: XXIII

Indirizzo Mail:;

Telefono: +39 02 26 42 26 00

Stanza: laboratorio bioinformatica 6° piano ITB-CNR 93, Via Fratelli Cervi, Segrate MI

URL sito personale:

Titolo ricerca: Membrane Systems: a framework for stochastic processes modelling and analysis


Ettore Mosca was born in Milan in 1982, Italy, where he got the Bachelor's degree in Molecular Biotechnology (2005) with the thesis “Cellular networks theory and in silico approaches for the study of yeast glycolysis” and then the Masters' degree in Bioinformatics (2007) with the thesis “Development of a database for the simulation and parameter estimation of cell cycle mathematical models using high performance computing” at the University of Milan-Bicocca, Department of Biotechnology and Biosciences (BTBS). Currently, he has a research grant from Istituto Tecnologie Biomediche - Consiglio Nazionale Ricerche (ITB-CNR), in Segrate, Milan, Italy. He is interested in database and data integration, mathematical modelling of cellular pathways and parameter estimation with evolutionary algorithms. Moreover, he is a PhD student of Computer Science at University of Milan-Bicocca, Department of Informatics, Systems and Communication (DISCo). He studies membrane computing as a framework for the modelling and analysis of stochastic processes with application to molecular systems. 




E. Mosca, I. Merelli, R. Alfieri, L. Milanesi, (2008), A distributed approach to parameter estimation in systems biology models, Rivista del Nuovo Cimento (Accepted for publication)

R. Alfieri, I. Merelli, E. Mosca, L. Milanesi, (2008), The Cell Cycle DB: a systems biology approach to cell cycle analysis, Nucleic Acids Res. Jan;36(Database issue):D641-5


E. Mosca, P. Cazzaniga, D. Pescini, G. Mauri, L. Milanesi, (2008), A stochastic, discrete model for the simulation of the action potential, SysBioHealth Symposium, 24-25 November, Bologna, Italy

L. Milanesi, E. Mosca, R. Alfieri, (2008), The BrainGeneExpress Database: a data integration approach for neuroinformatic research oriented to systems biology, 1st INCF Congress of Neuroinformatics, Stockholm, September 7-9, Sweden

E. Mosca, I. Merelli, R. Alfieri, L. Milanesi, (2008), A grid oriented evolution strategy to approach the parameter estimation problem in systems biology models, The Sixth International Conference on Bioinformatics of Genome Regulation and Structure, June 22-28, Novosibirsk, Russia

E. Mosca, R. Alfieri, L. Milanesi, (2008), The BreastCancerDB: a data integration approach for breast cancer research oriented to systems biology, Network Tools and Applications in Biology (NETTAB) workshops, May 19-21, 2008, Varenna, Como Lake



R. Alfieri, I. Merelli, E. Mosca, L. Milanesi, (2007), A Data Integration approach for Cell Cycle Analysis oriented to Model Simulation in systems Biology. BMC Systems Biology, 2007, 1:35

R. Alfieri, E. Mosca, I. Merelli, L. Milanesi, (2007), Parameter Estimation of Cell Cycle Ordinary Differential Equation (ODE) Models using a grid Approach, Studies in health technology and informatics, IOS Press(126) pp. 93-102


E. Mosca, R. Alfieri, I. Merelli, L. Milanesi, (2007), Parameters estimation for cell cycle ODE models using high performance computing, Sysbiohealth Symposium, Milan, Italy

E. Mosca, R. Alfieri, I. Merelli, L. Milanesi, (2007) Development of a systems biology infrastructure for mathematical modelling and parameter estimation. BITS 2007 meeting, Napoli, Italy

  • A Stochastich, Discrete model for the simulation of the Action Potential, SysBioHealth Symposium, 24-25/11/2008, Bologna, Italy
  • Systems Biology tools, NETTAB, 19-21/05/2008, Varenna (Lecco), Italy
  • Methods and tools for the simulation of a dynamic biological system based on Ordinary Differential Equations, SysBioHealth Symposium, 16-19/10/2007, Milan, Italy
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