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AI Act & AI Governance Consultant | Senior Data Scientist | PhD in AI | Lecturer & Trainer | Computational Social Science Researcher
I’m Luigi Lomasto, a computer science engineer and researcher passionate about innovation, artificial intelligence, and complex information systems. My journey began early with computer science studies in high school and continued with a Master’s degree in Computer Science from the University of Salerno. Over time, I’ve worked across cybersecurity, distributed systems, big data, and AI—fields that have shaped both my career and my research interests. In 2011, I spent a year as a volunteer in the Italian Army, an experience that strengthened my discipline, teamwork, and resilience. I also dedicated more than 15 years to the Salesian Oratory in my hometown, which played a key role in shaping my values and interpersonal skills. Today, I combine industry experience, academic research, and a strong focus on AI governance and the emerging challenges of misinformation, social dynamics, and responsible technologies. In my spare time, I enjoy reading, films, fishing, and competing in Kaggle challenges to keep learning through hands-on ML practice. More about me: luigilomasto.it My publications: Scopus Profile https://www.scopus.com/authid/detail.uri?authorId=57204735189
Università degli Studi di Salerno
Doctor of Philosophy - PhD, Computer Science
October 1, 2023 – October 1, 2026
Università degli Studi di Salerno
Master's degree, Computer Science: Data and Knowledge Management
January 1, 2014 – January 1, 2016
Università degli Studi di Salerno
Bachelor's degree, Computer Science
January 1, 2009 – January 1, 2014
I.T.I.S. Ettore Majorana
Informatica
January 1, 2004 – January 1, 2009
ProfessionAI
DPO
March 1, 2026 – Present
SIAS | Socially Intelligent Artificial Systems Group
Visiting PhD / Research Period Abroad
March 1, 2026 – May 1, 2026
Amsterdam, North Holland, Netherlands
Scientific Journals
Academic Peer Reviewer
April 1, 2025 – Present
Data Science Freelancer
Lecturer & Trainer
July 1, 2024 – Present
NLDB Conference
Program Committee Member
April 1, 2024 – Present
Greater Turin Metropolitan Area
Data Science Freelancer
AI Act & AI Governance Consultant
January 1, 2024 – Present
Luiss Guido Carli University
Teaching Assistant & Subject Matter Expert – Intelligent Machines and Law
October 1, 2023 – June 1, 2024
Greater Rome Metropolitan Area
Eustema S.p.A.
Senior Data Scientist | Researcher
January 1, 2023 – December 1, 2025
Consiglio Nazionale Ingegneri
Ingegnere dell’Informazione
November 1, 2022 – Present
ProfessionAI
Natural Language Processing Coach
January 1, 2022 – Present
Data Science Freelancer
Senior Data Scientist
September 1, 2021 – Present
Malwarebytes
Data Engineer
January 1, 2021 – September 1, 2021
Perugia, Umbria, Italy
Eustema S.p.A.
Machine Learning and Data Engineer | NLP Engineer | System Analyst and Researcher (R&D)
February 1, 2019 – January 1, 2021
Napoli, Italia
Innovation Engineering
Software Engineer / Machine Learning Engineer
March 1, 2017 – February 1, 2019
Roma, Italia
TIM
IT Consultant
November 1, 2016 – February 1, 2017
Pomezia, Latium, Italy
Spike Reply
IT Consultant
October 1, 2016 – February 1, 2017
Rome Area, Italy
ESERCITO ITALIANO
VFP1
December 1, 2010 – December 1, 2011
Santa Maria Capua Vetere (CE)
Computer vision: Podobarometric image classifier.
December 1, 2015 – February 1, 2016
The goal of this project was to realize a classifier to identify the main foot pathologies through the study of podobarometric images. We used technologies like Matlab and SVMLib.
Flawfinder & Rats: Analisi e confronto (Programmazione Sicura)
September 1, 2015 – Present
This project analyzed the efficiency of the Rats and Flawfinder static analysis tools. In particular, using the Juliet Suit Test (https://samate.nist.gov/SARD/testsuite.php), we studied the accuracy with which the two software returns: true positives, false positives and false negatives.
Cuda - Ray Tracing
April 1, 2015 – Present
We developed, in C CUDA environment, Ray Tracing algorithm to generate a sphere-based scenario with the main focus to evaluate pixel in shadow and pixel in light.
Free-Commerce. Progetto per l'esame di Gestione avanzata dei dati.
January 1, 2015 – Present
A project that involves the use of data scraping techniques by using the Tidy library for PHP, XPath, XQuery, and XSLT to scroll through XML pages, to extract information from the main e-commerce web applications like Subito, Amazon, and eBay to create a new e-commerce platform that contains the prev contents extracted.
Abilitazione all’esercizio della libera professione. Ingegneria dell’Informazione
Università degli Studi di Salerno
June 24, 2026 – Present
Apache Spark 3 - Real-time Stream Processing using Python
Udemy
June 24, 2026 – Present
Natural Language Processing Specialization
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Attention Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Probabilistic Models
DeepLearning.AI
June 24, 2026 – Present
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
June 24, 2026 – Present
Scrum Fundamentals Certified
Vabro.ai and VMEdu.com (Scrum/Kanban/AI/Business Analysis/OKRs/Six Sigma/Sales and Marketing etc.)
June 24, 2026 – Present
Machine Learning By Andrew NG (Stanford)
Stanford University
June 24, 2026 – Present
IBM-Scalable Machine Learning on Big Data using Apache Spark
IBM
June 24, 2026 – Present
Python for Data Science and Machine Learning Bootcamp
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across academic research, freelance consulting, and industry roles (Malwarebytes, Eustema S.p.A., Innovation Engineering) demonstrates adaptability and a broad perspective. Their involvement in AI governance and ethical AI discussions aligns with a culture that values responsible innovation. The continuous pursuit of education (PhD) and certifications indicates a strong drive for learning and professional development, which is a positive cultural fit for growth-oriented organizations. The range of projects, from secure programming analysis to computer vision and e-commerce data scraping, shows a versatile and curious mindset.
Soft Skills & Operational Fit
The candidate's experience as a lecturer, trainer, and program committee member suggests strong communication, leadership, and collaboration skills. Their involvement in AI governance and DPO roles indicates a meticulous and responsible approach to technical work, which is beneficial for operational fit. The diverse project experience also points to adaptability and problem-solving capabilities.