Interdisciplinary Collaborations

I am currently serving as the Deputy Director and a member of the Board at the Data Intelligence Institute of Paris (diiP) at Université Paris Cité. The diiP is an interdisciplinary initiative designed to benefit from advanced Artificial Intelligence (AI) and Data Science techniques to address complex scientific and societal challenges. It encourages collaboration across physical sciences, life sciences, and social sciences, facilitating innovative data-driven research.

As part of diiP, my role involves:

• Leading interdisciplinary projects leveraging advanced AI, Machine Learning, and Data Analytics techniques.

• Offering specialized PhD courses such as Applied Data Analytics and Advanced Applied Data Analytics.

Learn more about diiP: https://u-paris.fr/diip/

I was a founding member of DISA, which is an interdisciplinary research centre at Linnaeus University (Sweden) focused on advancing data-intensive methodologies to solve complex scientific and technological challenges. At DISA, I led research in Data Intensive Astroparticle Physics, focusing on innovative applications of data science and machine learning in astrophysical research.

My activities within DISA included:

• Establishing and guiding the Astroparticle Physics research branch, emphasizing innovative uses of large-scale data and cutting-edge analytical methods.

• Supervising students and researchers in pioneering projects that combine Astrophysics, Machine Learning, and Data Science.

• Organizing major scientific events (annual Big Data conferences, Hackathons) and workshops aimed at encouraging interdisciplinary collaborations.

For more about DISA, please visit: DISA at Linnaeus University