Our team
The people at aequa-tech are all academic researchers who hold a PhD or are about to obtain one. We have competencies in Natural Language Processing, Network Science, and Data Visualization. Our main objective for funding aequa-tech is to create fair AI solutions that are human-centered and respond to real-world problems.
People who collaborate with us
Friends of aequa-tech
We sponsor a series of fellowships called “friends of aequa-tech” intending to support researchers (PhD students, postdocs, etc…) during a one-shot collaboration with us. The collaboration is held at any given time, is mostly conducted through online interactions, and stems from a mutual research interest and from the researcher’s enthusiasm towards a given topic.
Currently, the friends of aequa-tech are:
Silvia Casola
PhD in Natural Language Processing
Silvia’s work focuses on Natural Language Generation and summarization in particular, bringing the experience from her PhD studies.
Marta Marchiori Manerba
PhD Student in AI for Society
Marta’s research focus is on experimenting with explainability and fairness lenses to evaluate NLP applications.
Soda Marem Lo
PhD Student in Computer Science
Marem explores the correlation between human label variation when annotating a highly subjective phenomenon of the language, and annotators’ moral values.
Alberto Piraccini
Project Manager
PM with a proven track record in delivering successful software projects. Skilled in process optimization, project management and web development.
Internships at aequa-tech
Adele
Tabbia
Is a master’s student in Economy and Statistics for the Organizations (University of Turin) who built a Web News Descriptor Module for Debunker Assistant during a curricular internship with us.
Arianna
Longo
Is a master’s student in Language Technologies and Digital Humanities (University of Turin). She developed a corpus for the identification of vulnerable entities in the news.
Vittoria
Tonini
Is a master’s student in Language Technologies and Digital Humanities (University of Turin). She developed a linguistic resource for the identification of counter-narratives in social media.
Efsa
Tortuk
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