To build a transversal scientific and technical network specifically oriented towards the academic and business communities, the MSI relies on a team of expert engineers working on research projects with Université Côte d’Azur researchers and faculty.

Some of these experts bring their support to various thematic centers of expertise requiring strong skills in modeling, simulation and data science.

Dr. Maeva Antoine
+33 (0)4 89 15 15 76
Petit Valrose, Avenue Joseph Vallot, 06100 Nice

Maeva Antoine obtained a Ph.D. in computer science from the University of Nice Sophia Antipolis in 2015. Her thesis focused on load balancing in distributed systems. In September 2019, Maeva was recruited by the MSI as HPC Systems Administrator of Azzurra, the Université Côte d'Azur Computing Center.

Dr. Silvia Bottini

+33 (0)6 30 56 69 99
Hôpital Archet 3, 151 Route de Saint-Antoine, 06200 Nice

Holder of a master's degree in physics, Silvia obtained her Ph.D. in bioinformatics from the University of Siena (Italy) in 2014. During her Ph.D., she developed computational pipelines dedicated to the study of the bacterial transcriptome from high density chip experiments. From October 2014 to December 2018, she was a postdoctoral fellow at the Mediterranean Center for Molecular Medicine (Inserm U1065) in Nice to study the regulation of gene expression mediated by miRNAs. Her main areas of expertise concern high throughput sequencing data analysis including OMICS technologies such as RNA-seq, CLIP-seq, ChIP-seq and the development of bioinformatic pipelines.

Since January 2019, Silvia Bottini is the Operational Manager of the Medical Data Laboratory (MDLab), the center of expertise in medical data processing based at the CHU in Nice.

Dr. Marco Corneli

Pôle Universitaire Saint Jean d'Angély 3,
24 av. des Diables Bleus, 06357 Nice

After a master's degree in applied mathematics (Université Paris Diderot), Marco Corneli earned his Ph. D. in statistics at the Université Paris 1 Panthéon-Sorbonne in 2017. His thesis focused on the analysis of dynamic random graphs, in terms of vertex clustering and detection of multiple breaks.

At the J. A. Dieudonné Laboratory, he later undertook post-doctoral research on the unsupervised classification of mixed data such as graphs, ordinal data, texts and images. Since 2017, he has also been teaching a course on statistical inference in the framework of the Université Côte d’Azur’s Master in Data Science. Author of several articles published in international scientific journals, he has developed two R packages and contributed to the programming of C++ software for the co-clustering of mixed data, for which a patent has been submitted.
In September 2019, Marco Corneli was recruited by the MSI as engineer and operational director of the Digital Humanities Laboratory (DHLab), an MSI center of expertise dedicated to machine learning and artificial intelligence applications in Digital Humanities.

Jean-Noël Mattei
SKEMA Sophia Antipolis,
60 rue Fedor Dostoievski, 06902 Valbonne

Jean-Noël Mattei holds a master’s degree in Mathematical Engineering, Stochastic and Statistic Modeling, from Université Côte d'Azur.

In October 2019, Jean-Noël was recruited at the MSI to work on the project Regional expertise alignment and firm performance, one of the pilot projects of the MSI Digital Humanities Lab (DHLab).
Dr. Marco Milanesio

Inria Sophia Antipolis Méditerranée
bât. Fermat, Bureau F215
2004 Route des Lucioles, 06902 Valbonne

Marco Milanesio earned his PhD in Computer Science at the University of Turin (Italy) in 2010, with a thesis on "Layering Multi-Purpose Applications over Structured and Dependable P2P Systems". During his PhD, he worked on the security aspects of distributed systems, their architectures and features.

From 2011 to 2017, he was research engineer at Eurecom in the "Network and Security" (until 2016) and "Data Science" departments, where he worked on several topics: network performance measurements, QoE / QoS, distributed storage, virtualization, time series analysis and forecasting.

He joined the MSI in September 2017. His first research project is carried out within the Inria Epione team, where he works on distributed optimization and ETL (Extract/Transform/Load) pipelines for distributed analysis of medical images.

He has worked for the Medical Data Lab since its creation, by contributing to the design of the architecture and the deployment of the servers' infrastructure. Within the same lab, he currently manages the servers and works on the development of software for the processing of genetic data.


 At Inria Epione Team: Distributed Analysis of Medical Data

 At the Medical Data Lab

  • NGS sequencers data backup;
  • Fetal fraction determination;
  • Data management;
  • Virtualisation.
David Pratella

+33 (0)4 92 03 66 11
Hôpital Archet 3, Bureau 415,
151 Route de Saint-Antoine, 06200 Nice

David Pratella holds a master's degree in Bioinformatics from Université Côte d'Azur.
In January 2018, he was recruited as a bioinformatics engineer at the Medical Data Laboratory to optimize and implement new analysis pipelines as part of the study on Next Generation Sequencing (NGS) data.
Fanny Simões

Hôpital Archet 3, Bureau 415
151 Route de Saint-Antoine, 06200 Nice

Fanny Simões holds a Master's degree in Econometrics Statistics - Information and Decision-Making Techniques in Business (TIDE) from the Université Panthéon-Sorbonne (Paris 1). She was recruited in 2019 as a biostatistician engineer at the Medical Data Laboratory of the MSI to study the link between exposure to air pollutants and the frequency of cardiac dyspnea in the South Region - Provence-Alpes-Côte-d'Azur, through the reconciliation of a "patient" database and an air pollutants database.