Summary
Luca Mariotti is a software engineer and PhD candidate in Informatics with nine years of experience focused on data management, temporal graph analytics, and applied machine learning for HRM. He researches Knowledge Graph Completion using LLMs and contrastive, self-supervised techniques to enrich graphs from textual sources while addressing limited labeled data through distant supervision. His applied work spans social network analysis, temporal graph modeling of employee digital activities, and predictive models for employee attitudes, and he contributes to industry projects like WASABI building human-AI assistance for manufacturing. Luca combines academic rigor—top honors in his master’s—with hands-on system development and teaching experience, having lectured database courses and led contract research at UniMoRe. He is comfortable bridging NLP, graph representation learning, and practical deployment in human-centered AI contexts. An understated strength is his focus on hybrid methods that blend KG structure and semantic text content to automate graph maintenance and augmentation.
8 years of coding experience
2 years of employment as a software developer
Laurea breve in Scienze e Tecnologie Informatiche, Informatics, 104/110, Laurea breve in Scienze e Tecnologie Informatiche, Informatics, 104/110 at Università degli studi di Parma
Doctor of Philosophy - PhD, Informatics, Doctor of Philosophy - PhD, Informatics at Università degli Studi di Modena e Reggio Emilia