Professional Summary
I’m an NLP and Computational Linguistics researcher with a Master’s degree in Language Technologies and Digital Humanities from the University of Turin, where I graduated in July 2026. I’m interested in the intersection of language, culture, and AI.
My master’s thesis, supervised by Prof. Viviana Patti and Dr. Marco Antonio Stranisci, grew out of a community-developed dataset on information disorder (InDor). It proposed a retrieval-based framework to connect LLMs’ reasoning to native-speaker explanations in order to better assess information disorder, and tested it on Persian and Italian.
My Bachelor’s degree is in English language translation, focused on linguistics and translation studies.
Also, beyond academia, I spent over 3 years in SEO, web content, and digital marketing, work that showed me how language functions for real audiences, how it circulates online and how we can use it for marketing and business goals.
My research interests are: Multilingual & Cross-Cultural NLP, Computational Social Science (CSS), Explainable AI, In-Context Learning, Human-in-the-Loop AI, and Information Disorder.
My master’s thesis, supervised by Prof. Viviana Patti and Dr. Marco Antonio Stranisci, grew out of a community-developed dataset on information disorder (InDor). It proposed a retrieval-based framework to connect LLMs’ reasoning to native-speaker explanations in order to better assess information disorder, and tested it on Persian and Italian.
My Bachelor’s degree is in English language translation, focused on linguistics and translation studies.
Also, beyond academia, I spent over 3 years in SEO, web content, and digital marketing, work that showed me how language functions for real audiences, how it circulates online and how we can use it for marketing and business goals.
My research interests are: Multilingual & Cross-Cultural NLP, Computational Social Science (CSS), Explainable AI, In-Context Learning, Human-in-the-Loop AI, and Information Disorder.
Recent Publications
(2026).
Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder.
University of Turin.
(2026).
Culturally Adaptive Explainable LLM Assessment for Multilingual Information Disorder: A Human-in-the-Loop Approach.
Presented at LREC 2026 - InDor26 Workshop.
(2026).
Beyond Fake News Detection: A Community-based Study of the Multicultural Nature of Information Disorder.
LREC 2026.
(2026).
MKJ at SemEval-2026 Task 9: A Comparative Study of Generalist, Specialist, and Ensemble Strategies for Multilingual Polarization.
SemEval-2026.
(2026).
Conspiracy Frame: a Semiotically-Driven Approach for Conspiracy Theories Detection.
[UNDER REVIEW].