Research


Computational Creativity

Create computational models of language as a tool for creative thinking.

Multilingual AI

Develop AI models capable of understanding and generating multiple languages.

Language Change

Investigate language evolution and word formation in diverse linguistic and cultural contexts.

AI For Science

Scientific document processing and AI systems to advance the understanding of RNA and its biological functions.







Projects





Current Projects


AI2Pub

SNSF Agora 2025-2028

Artificial intelligence (AI) has become a powerful and pervasive technology, influencing many aspects of our daily lives. However, its rapid growth and integration into society raise complex questions and concerns. Our team of scientists and communication experts are committed to improving public understanding of AI technologies, fostering a positive societal impact. Building on the foundations of our previous project, NewsOnAI, we will go beyond traditional communication channels such as workshops and media publications. Our proactive engagement efforts will establish dynamic, two-way communication between scientists and the public, utilizing new formats like interactive exhibitions and theater performances. Analyzing feedback from these initiatives will enable scientists to pursue research directions that effectively address societal concerns. Over time, we anticipate that our efforts will create a multiplying social impact, fostering informed public discourse and a deeper understanding of AI technologies.


C-LING

SNSF 2022-2026

Molly Petersen - PhD student (EPFL)
Mete Ismayilzada - PhD student (EPFL)

This project aims to create computational models of language as a tool for creative thinking. We will extract statistical patterns from large text corpora to inform these models as well as structured knowledge bases. We aim to generate new concepts by means of comparing statistical patterns in large text corpora from different cultures and domains, just like a person may get new ideas from travelling and collaborating with people from different backgrounds. At the same time, we want to go one step further by looking at more complex constructs such as new ideas, for example scientific discoveries. For such complex constructs statistical patterns alone will not suffice and structural knowledge will be added to our models.


NCCR Evolving Language

SNSF (2024-2028, principle investigator)
SNSF (2020-2023, associate investigator)

Diego Rossini - PhD student (USI)

The Swiss National Centre of Competence in Research (NCCR) Evolving Language is a nationwide interdisciplinary research consortium bringing together research groups from the humanities, from language and computer science, the social sciences, and the natural sciences at an unprecedented level. Together, we aim at solving one of humanity's great mysteries: What is language? How did our species develop the capacity for linguistic expression, for processing language in the brain, and for consistently passing down new variations to the next generation? How will our capacity for language change in the face of digital communication and neuroengineering? Together with Lena Jäger and Andrea Migliano from the University of Zurich we will lead a project on lexical innovation."


ORIENTER

SNSF SPIRIT 2025-2029

This project aims to investigate what aspects of patients' language and behaviour can be effectively and efficiently modelled by very recent AI techniques in the diagnostic construct of depression disorders, considering relevant demographic variables such as cultural background (native language) and gender.








Past Projects