cv

Research Scientist

Deezer

Research in NLP, music information retrieval, and multimodal AI.

Postdoctoral Research Fellow

Language Technologies Lab – University of Bologna

Computational detection of logical fallacies in political discourse using NLP.

• Logical fallacy detection
• NLP for political discourse

Visiting Researcher

Sony AI

Transferred speech-model capabilities to music using large ASR models and LLMs for enhanced lyrics representations and multimodal musical version identification.

• ASR+LLMs for lyrics representations
• Multimodal version identification

Visiting Researcher → Collaborating Alumni

Mila – Quebec AI Institute

Developed LMAC-TD, a post-hoc method to produce listenable time-domain explanations for audio classifiers. Ongoing collaboration on explainability for speech and multimodal models. Advisors: Prof. Cem Subakan, Prof. Mirco Ravanelli.

• LMAC-TD: listenable time-domain explanations
• 100+ speech interpretability experiments

Research Fellow

Language Technologies Lab, University of Bologna

Vague clauses detection in privacy policies (GDPR). Built a BIO tagging classifier achieving macro F1 = 0.91 on clause categorization.

• GDPR privacy policy analysis
• BIO tagging classifier (F1=0.91)

Teaching Assistant

University of Bologna

Assisted courses in NLP (M.Eng AI), Real Time Systems for Automation, Python Programming (BSc Genomics), and Computer Science (BSc Mathematics). Delivered lectures, managed coursework, and mentored students (AI Camp).

• NLP (M.Eng AI)
• Real Time Systems for Automation
• Python Programming
• Computer Science

Research Intern

i2CAT Foundation

Detected disruptive situations in public transport using Speech Emotion Recognition with robustness to noise and overlapping speakers.

• Speaker/gender-independent SER
• F1 > 90% in noisy, multi-speaker settings

Student Volunteer Co-Chair

ACL 2025

Student Volunteer

LREC-COLING 2024

Student Volunteer

CLEF 2022

Coordinator, Alumni Association – M.Sc. Artificial Intelligence

University of Bologna

PhD

University of Bologna

Computer Science and Engineering – Artificial Intelligence

M.Eng.

University of Bologna

Artificial Intelligence

B.Eng.

University of Bologna

Computer Engineering

Best Scientific Report & 2nd Best Poster

International Semantic Web Research Summer School (ISWS)

Bertinoro, Italy

Best Doctoral Consortium Paper Award

AIxIA

Udine, Italy

Leveraging Whisper Embeddings for Audio-based Lyrics Matching

ICASSP 2026 – IEEE International Conference on Acoustics, Speech and Signal Processing

Barcelona, Spain, pp. 15967–15971.

TRI-DEP: A Trimodal Comparative Study for Depression Detection Using Speech, Text, and EEG

arXiv

Preprint.

Investigating the Effectiveness of Explainability Methods in Parkinson’s Detection from Speech

IEEE ICASSP Workshops (ICASSPW 2025)

Hyderabad, India, pp. 1–5.

LMAC-TD: Producing Time Domain Explanations for Audio Classifiers

ICASSP 2025 – IEEE International Conference on Acoustics, Speech and Signal Processing

Hyderabad, India, pp. 1–5.

Promoting the Responsible Development of Speech Datasets for Mental Health and Neurological Disorders Research

Journal of Artificial Intelligence Research (JAIR), 82: 937–972

Overview of MM-ArgFallacy2025 on Multimodal Argumentative Fallacy Detection and Classification in Political Debates

Proceedings of the 12th Argument Mining Workshop (ACL 2025)

pp. 358–368, Vienna, Austria.

Data Representation, Fusion and Interpretability in Multimodal Deep Learning for Natural Language Processing

ECAI Doctoral Consortium (ECAI 2024)

MAMKit: A Comprehensive Multimodal Argument Mining Toolkit

Proceedings of the 11th Workshop on Argument Mining (ArgMining 2024), ACL 2024

pp. 69–82, Bangkok, Thailand.

Disruptive Situations Detection on Public Transports through Speech Emotion Recognition

Intelligent Systems with Applications (ISWA) 21: 200305

Multimodal Fallacy Classification in Political Debates

Proceedings of the 18th Conference of the European Chapter of the ACL (EACL 2024)

St. Julian’s, Malta.

Enriching hate-tuned transformer-based embeddings with emotions for the categorization of sexism

Working Notes of CLEF 2023 – EXIST 2023 Workshop

Draw Me Like My Triples: Leveraging Generative AI for Wikidata Image Completion

Proceedings of the 4th Wikidata Workshop at ISWC 2023

Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations

Proceedings of IJCAI 2023

pp. 5806–5814.

Multimodal Argument Mining: A Case Study in Political Debates

Proceedings of the 9th Workshop on Argument Mining, COLING 2022

pp. 158–170, Online and Gyeongju, Republic of Korea.

HumanE-AI-Net (H2020)

PI for 'Promoting Fairness and Diversity in Speech Datasets for Affective Computing'; researcher on 'Emotion Recognition for Human-Centered Conversational Agents'.

• Guidelines for diverse/unbiased speech datasets
• Affective computing for conversational agents

5GMED (H2020)

Ambient Intelligence – Disruptive Situations Detection on public transport through Speech Emotion Recognition.

• Noise-robust SER
• Public transport safety