About Kirell Benzi

Kirell Benzi is a data artist, speaker and data visualization lecturer. He holds a Ph.D. in Data Science since 2016, which he obtained at EFPL (Ecole Polytechnique Fédérale de Lausanne). He became passionate about digital art at a young age, and by the time he was a teenager started exploring digital creation by making abstract visuals based on photos that combined both art and computer science.
His expertise in software engineering and creative coding have allowed him to design new methods specially dedicated to his passion for data. Consequently, his work has been shown in museums (ArtLab, Swiss National Museum), newspapers and magazines (La Recherche, 20minutes, Le Temps) and on over 100 websites in 10 languages (including Gizmodo, EngadgetThe MarketPlace, TechRadar, Co.Design, Phys.org, VICE or Digital Trends) for his analysis of the Star Wars universe as well as for his interactive visualisations of the data surrounding the viral Pokemon Go phenomenon. In 2018, he gave a keynote at a TEDx symposium in Annecy, France.
In their whole, Kirell’s creations can be articulated and deciphered following an array of tones, shapes, dots, and lines that are staged according to the nature of the data, by using mathematical tools and methods which come straight from scientific research.
Kirell’s approach is therefore different from that of most digital artists, particularly generative art, in that it applies scientific caution. His virtual gallery is composed of iridescent supernovas the mysterious aesthetics of which hide a painstaking amount of work. First of all, the task of collecting the data beforehand, the base material that needs to be sorted, cleaned and analyzed. This treatment requires the development of mathematical formulas or models that are often inspired by nature.
As for the wells of information retained at that precise moment in time, they constitute the clusters and networks of communities determined according to a premise or specific theme, that will then be illustrated by dots of varying sizes according to the number of people who belong to these communities. This information can be dynamic and connected in real time to current topics or to a particular event. Recognizable in the artwork by a specific color, sets of information can sometimes be interconnected by strands that bring to light the bonds that tie them together. These beams of knowledge, viewed as artistic displays, can just as easily be found inside the virtual prism (websites, smartphones, etc) or in a spreadsheet or a directory. This is the very nature of Data Art, the purpose of which is to render a hidden mass visible. In other words, to transform micro into macro or vice versa.
Through a hypnotic visual semantic, Kirell works to show that algorithms have a soul… In other words, that we can generate emotion and curiosity through calculations. Even though this logic can seem cold in the collective imagination, it might be able to seduce even the most averse to algebra. The purely creative part is in the choice of the color scale and the resulting shape of diverse combinations between networks. Whether they be static or dynamic, these shapes (that turn by turn may evoke anything from stars, spheres, fireworks to jellyfish) stand out against a black background, plunging the viewer into the field of the digital constellation. These concretions of data that give shape to the artwork allow for an infinite number of topics. Notably, as the son of a writer-composer-interpreter, Kirell has focused particularly on the musical field. For this reason, Kirell created the Genezik app, an intelligent playlist generator based on the user’s preferences.

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My CV.

You will find more information on my LinkedIn profile.


My Thesis.

From Recommender Systems to Spatio-temporal Dynamic with Network Science.


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