Sphera SRL
CEO & Founder

Sphera is a company that offers high-tech, disruptive software products, integrated with AI and BI. The main product is a modular software suite to manage businesses, workflows and Industry 4.0. I manage the company and I supervise the development of the products making strategic decisions and tracing the growing direction of the company

AIDIA SRL
CTO & Founder

I design and supervise the development of the technological solutions the company offers, selecting the right tools, frameworks and methods and managing the development engineering team. The fields of application include: AI and ML, Microservices architecture and platforms, Big Data. My responsibilities and duties are: Company Management, Project management, Technological and Strategical decision making and Team building.

UNIVERSITY OF FLORENCE
Doctor of Philosophy - PhD in Smart Computing
AI Lab
Advisor: Prof. Paolo Frasconi

UNIVERSITY OF FLORENCE
MEng in Computer Engineering
Vote: 110/110 Magna Cum Laude

Thesis title: "RFMLS: Radio Frequency Machine Learning System"
Thesis supervisors: Stratis Ioannidis, Paolo Frasconi, Andrew D. Bagdanov.

UNIVERSITY OF FLORENCE
BS in Computer Engineering
Vote: 102/110

Thesis title: "Recognition techniques and their application to the control of moving systems through embedded platforms"
Thesis supervisor: Fabrizio Argenti.

UNIVERSITY OF FLORENCE
Researcher

I collaborate with Prof. Paolo Frasconi and Dr. Valentijn Borghuis in the design, training, and evaluation of innovative generative models and algorithms to generate music genre interpolations and other forms of autonomous music production. Generative models are unsupervised learning techniques that allow one to sample data points from a distribution inferred from a training set. Prominent exampes that have received significant attention in recent years include generative adversarial networks and various kinds of autoencoders. The goal of this research project is the application of Wasserstein autoencoders to the generation of MIDI musical patterns starting from proprietary data made available by the contractor Borgflocken B.V.

NORTHEASTERN UNIVERSITY - SPIRAL LAB
Researcher

Worked with Machine Learning and Signal Processing on a DARPA project called RFMLS (Radio Frequency Machine Learning System), in order to identify wireless devices based only on raw RF transmissions with thousands of devices. Designed the Neural Network Architecture used for the identification task and helped develop the signal processing system needed to extract the right features.

UNIVERSITY OF FLORENCE
Researcher (Research Scholarship)

Worked on the ”Development of compression and denoising algorithms for images from AS-OCT” project, financed by C.S.O. S.r.l. Designed a custom and efficient compression and denoising algorithm specifically for AS-OCT images and implemented it (C++ No Libraries).

ISMIR Proceedings

2020

IJCAI Proceedings

2020

arXiv preprint

2019

NEU preprint

2019