WORK EXPERIENCE

15 Jan 2019–31 Jul 2019 Research Fellow
Technische Universität München, München (Germany)
– Collaboration on the FeatureCloud Projekt (Machine Learning Algorithms on Private Data while
preserving privacy through Federated Learning)
– Teaching seminars

Aug 2018–Oct 2018 Master Thesis Student
Crisma s.r.l., Roma (Italy)

Oct 2016–Dec 2016 Ethical Hacking Internship
5 Emme Informatica, Roma (Italy)

Sep 2007 Manufacturing Internship
BASF (Germany)

Aug 2007 Manufacturing Internship
Alex Hinterseh GmbH (Germany) 

EDUCATION AND TRAINING

Jan 2016–Oct 2018 Master's Degree in Data Science
Università degli Studi di Roma la Sapienza, Roma (Italy)
-Thesis Title: Unsupervised Anomaly Detection on NetFlow data.
-Thesis Description: We used a graph-based method to identify time windows in a computer network
in which the network displays anomalous behavior. The dataset on which the analysis was performed
was obtained using the Cisco Netflow tools.
-Supervisors: Prof. Antonio Cianfrani and PhD. Raffaele Miele (Crisma s.r.l.).
-Acquired skills:
Graph Theory, Data Mining, Big Data, Machine Learning, Regression, Classification, Clustering, SQL
and NoSQL based databases, TCP/IP, Convex Optimization, Frequentist and Bayesian Statistics,
Bioinformatics data and analysis, Cryptography, Game Theory.

Nov 2012–Jan 2016 Bachelor's Degree in Physics
Università degli Studi di Roma la Sapienza, Roma (Italy)
-Thesis title: Magnetohydrodynamic theory as fluid description of plasma.

2010–2012 Frequency of Physics Bachelor's Degree
Technische Universität München, München (Germany)

2007–2010 Frequency of Mechanical Engineering Degree (Diplom)
Technische Universität München, München (Germany) 

Mother tongue(s) Italian, German, English C1

Job-related skills 
Python (pandas, numpy, scikit-learn, networkx, igraph, nlkt), R, C, SQL, MySQL, LaTeX, Neo4j, Netkit, Wireshark