Anthony Bilodeau est étudiant au doctorat en biophotonique à l'Université Laval. Il travaille actuellement à son projet projet de doctorat, qui consiste à la construction d'un microscope de super-résolution qui sera en mesure de s'adapter à l'échantillon en utilisant l'apprentissage par renforcement. Pendant sa maîtrise, il a développé des techniques d'apprentissage faiblement supervisées pour faciliter l'analyse d'images de microscopie.

Rogia kpanou is a doctoral student in computer science. During her master's degree in computer science, she focused on predicting drug-drug interaction side effects using artificial intelligence algorithms. Currently, she is working on how to generate targeted monoclonal antibodies for the treatment of bovine mastitis, again using recent advances in the field of artificial intelligence. In addition to her master's degree in computer science, Rogia kpanou has a bachelor's degree in bioinformatics.

Theresa Wiesner is a postdoctoral fellow in Biophotonics at Université Laval, where she is working on the development of multimodal super-resolution imaging for live-cell imaging using machine learning. She completed her PhD in Biophotonics under the supervision of Paul De Koninck and Flavie Lavoie-Cardinal in 2021, where she was interested by the quantitative assessment of synaptic plasticity at the molecular scale with multimodal microscopy and computational tools. She completed her master’s degree at Universisté Laval and Université Segalen, in France, and her bachelor degree at the University of Perugia, in Italy.

Rupali Bhati is a Master’s in Computer Science student at Université Laval supervised by Audrey Durand. Her research interests include applications of machine learning and reinforcement learning to healthcare and other domains. Prior to her Master’s, she completed her bachelor’s from Delhi Technological University and worked at KPMG.