Experience

  1. Research Fellow

    University of Bologna

    Responsibilities included:

    • Developing a pipeline to enrich the EPTIC corpus by automating transcription, sentence alignment, video alignment, and metadata extraction.
    • Evaluating and fine-tuning ASR models for verbatim transcription, focusing on linguistic features like disfluencies and pauses.

  2. Research Intern

    University of Bologna

    Responsibilities included:

    • Extracting textual data from subtitles and combining it with the Medical Dramas Dataset developed by the Department of Arts of the University of Bologna.
    • Fine-tuning MMBT (Multimodal Bitransformer), which resulted in a 7.6% higher F1 score commpared to the text-only models.

Education

  1. MA in Translation and Technology

    University of Bologna

    Final Grade: 110/110 with Honors

    Curriculum of the Specialized Translation MA. Thesis on Multimodal Classification of Audiovisual Content. Supervised by Prof. Alberto Barrón-Cedeño. Presented a paper at the 14th Media Mutations International Conference and collaborated with the Language Technologies Lab of the University of Bologna.

    Courses included:

    • Natural Language Processing
    • Quantitative Data Analysis
    • Python and R Programming
    Read Thesis

  2. BA in Languages and Technologies for Intercultural Communication

    University of Bologna

    Final Grade: 109/110

    Previously referred to as “Intercultural and Linguistic Mediation”. Spent one semester abroad as part of the Overseas exchange program, taking courses at the Higher School of Economics (Высшая Школа Экономики).

    Courses included:

    • Computational Linguistics
    • Computer-Assisted Translation
    • Translation and Liaison Interpreting
Skills & Hobbies
Awards
IBM Data Engineering
Coursera ∙ September 2023
Developed skills in relational databases, database design and administration, data warehousing, SQL, BI tools, ETL, NoSQL, and big data processing with Apache Spark. Completed a capstone project designing and managing a data engineering platform inspired by real-world scenarios.
Data Science and Big Data Analytics
IFOA ∙ April 2020
Covered methodologies in data science, advanced software solutions for analytics, management of distributed data systems, computational methods for big data, and scalable algorithms for dimensionality reduction, clustering, and ranking.
Languages
100%
English
100%
Italian
85%
Russian
65%
French
15%
Japanese