French AC/DC queer. Data scientist, PhD student in health communication at Université Laval (Québec).
Who am I?
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neurartist
A PyTorch implementation of two papers on style transfer: a deep learning algorithm that can transfer on a photography the artistic style of a painting.
Sources
L. A. Gatys, A. S. Ecker and M. Bethge, "Image Style Transfer Using Convolutional Neural Networks," 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, NV, 2016, pp. 2414-2423, doi: 10.1109/CVPR.2016.265.
L. A. Gatys, A. S. Ecker, M. Bethge, A. Hertzmann and E. Shechtman, "Controlling Perceptual Factors in Neural Style Transfer," 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, HI, 2017, pp. 3730-3738, doi: 10.1109/CVPR.2017.397.
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Statues! & more!
A Minecraft mod I made when I was 15, that managed to be widely adopted. It was the first project I actually worked on, from its design to its distribution, using download links with ads to get paid.
Bienvenue chez moi! My name is Guillaume, I am a data science engineer who graduated from UTC, France. I studied math and advanced data analysis. I also received an education on cognitive science and philosophy of technics, in the context of the PHITECO minor.
As of today, I am a PhD student in communication science and data science at Laval University, Québec, where I work on public health matters.
PhD
My research project focuses on problematic information on social media during the COVID-19 pandemic. I am seeking to study the communication system of online social spaces in which alternative information about public health is discussed and debated.
More specifically, I am interested in the controversies surrounding the mRNA vaccine campaign during the COVID-19 pandemic (2020-2023). I am interested in how participants in these online circles co-construct the meaning of information (both hegemonic and alternative) in a pandemic context, where information is changing and fragmented.
My goal is to analyze the communication patterns of these informal spaces, how information is decoded and reconstructed, as well as the individual and collective motivations that influence engagement in these groups. I draw from the theoretical traditions of cultural studies to propose an interpretative framework of this online discourse. With this project, I hope to bring new perspectives on the matter of vaccine hesitancy and personal care behaviours. The pandemic has indeed contributed to highlight an evergrowing mistrust of the public towards health policies in a context of crisis.