Flavia Salutari


flavia [dot] salutari [at] gmail [dot] com


Google Scholar





Data Scientist

BNP Paribas Personal Finance, Paris, France

Carrying out data projects to improve performance, solve problems and/or support the challenges of business teams in different countries, according to the priorities identified: receiving requirements, analysing data, creating models and tools. Development of CLI/LIB/API, putting in place MLOps-standard pipelines for CI/CD (GitOps/ArgoCD), model monitoring (MLflow), code quality standards (black/flake8/mypy/pylint/isort) and tests. Constantly performing scientific watch for state-of-the-art proposals, as well as for the maintenance and update of models in production.

PhD Student

Telecom ParisTech, Paris, France

I worked on the analysis of users' Quality of Experience (QoE) on the Web, one of the most successful Internet application. Specifically, I had the chance to deal with data-driven models of user satisfaction, built through different measurement campaigns, particularly to assess user satisfaction on Wikipedia pages, in the context of a collaboration with the Wikimedia Foundation.

Visiting Researcher

University College London, London, UK

I worked at the Web Intelligence Group on the measurement of societal bias embedded in transformer-based language models (BERT, RoBERTa, GPT2, etc.) to ensure fairness in conversational systems.

Research Engineer

Telecom ParisTech, Paris, France

I have worked in the context of the NewNet@Paris Cisco's chair on topics related to Internet measurements, by employing state-of-the-art algorithms of Machine Learning.


Telecom ParisTech, Paris, France

The topic of the internship was merging the world of network measurements with that of Machine Learning. The data gatherer module uses the main networking Python libraries, whilst the data analysis one exploits Pandas.


JointOpenLab (JOL) Visible by Telecom Italia, Torino, Italy

The internship has focused on the development of an algorithm for the geometric verification of images. Given two clouds of data points, each one referring to an image, the algorithm is able to detect whether they are correlated or not, i.e. if the two images depict the same object. This test, executed on pairs of images with ground truth, can provide a score of the accuracy of the visual recognition technique. The work has been carried out in MATLAB.


PhD in Computer Science, Data and AI

Institut Polytechnique de Paris
Paris, France

Thesis: Longitudinal, large-scale and unbiased Internet measurements: the users, the Web, the models.


Master of Science in ICT For Smart Societies (110/110 cum laude)

Politecnico di Torino
Torino, Italy

Thesis: Design and experimentation of host classification algorithms using active measurements in the Internet.

Specialist Subjects: Programming for IoT Applications, Operational Research, Statistical Signal Processing, Automotive Infosystems, Management and content delivery for Smart Networks, Mobile and sensor networks, ICT in transport systems, ICT in building design, ICT for Geomatics, ICT for Health, Smart Grids, Mobile Application Development.

Politong Project

Tongji University
Shanghai, China

Joint bachelor program in Information and Communication Technology Engineering developed by Tongji University from China and Politecnico di Milano and Politecnico di Torino from Italy to train the selected talents in a multicultural environment.

Bachelor Degree in Telecommunications Engineering

Politecnico di Torino
Torino, Italy

Specialist Subjects: Signal Theory, Computer Networks, Networking Laboratory, Advanced Programming.

High School Diploma in Scientific Studies, Major in Mathematics, Physics and IT

Liceo Scientifico Andrea Bafile
L'Aquila, Italy



Git, GitlabCI, SVN, Apache Hive & Microsoft Office


Python (numpy, pandas, sklearn, transformers, sentence-transformers, pytorch, keras, nltk), Bash, LaTeX & SQL


Italian (native), English (advanced), French (advanced) & Chinese (beginner)

Soft Skills

Communication, Team work, Empathy & Adaptability

Flexibility & Creativity


TMA 2018 Hackaton, Winner

Wien, Austria

Winner (in team with Andrian Putina and Matteo Romiti) of the Hackaton proposed by 2018 the ACM TMA’18 Conference. The goal was the development of an algorithm for fingerprinting the usage of Internet services, evaluating the implications for users’ privacy.

RESCOM 2018 Hackaton, Winner

Porquerolles, France

Winner (in team with Dimitros Milloris, Marcel Enguehard, Andrian Putina and Thomas Green) of the Hackaton proposed by the Rescom’18 Summer School. The goal was the temporal and spatial analysis of the tweets posted mduring the world cup 2014.


Urban Mobility Analysis Platform (UMAP), ICT in Transport Systems

ICT Researcher, Group Member

Design and implementation of a coherent data analysis framework capable to collect and integrate heterogeneous geo-referenced data in order to investigate the urban mobility. The city of Turin has been taken as case study and for it a remarkable focus has been given to Enjoy and Car2Go car sharing providers. UMAP has been fully developed in Python, mainly exploiting the Pandas library and leaning on MongoDB.

Building Management System, ICT in Building Design

Group Member

Design, development and emulation of the modules for a Building Management System (BMS) such as shading management, lighting management and air quality control system referred to a real building project carried out by a team of architects. The modules have been implemented in Python.

Smart Home, Programming for IoT Applications

Group Member

Design and development of a physical system to monitor both the lighting and the heating in a smart home environment. A Raspberry Pi has been involved acting as controller and as a broker used by a set of Arduinos connected to the sensors. A graphical interface to make the user interact with the system has been implemented using Bootstrap, PHP and Javascript.


Cinema, Theatre, Photography, Literature, Travels, Art, Psychology.