Tamires Marcal
I’m a Computational Neuroscientist and an AI Researcher with a decade of experience bridging brain science and machine learning. With a strong background in science communication, industry collaboration and open science, I’m dedicated to building tools that bring research closer to real-world solutions. I am currently pursuing a PhD at the McGill Centre for Integrative Neuroscience and Mila – Quebec Artificial Intelligence Institute.
Sessions Montréal 2026
Explainable AI (XAI): Where to Begin
Session en Anglais - Débutant
Black-box models fall short when decisions demand clarity and trust. This session shows how Explainable AI make troubleshooting easier and reveals hidden patterns in data. From making financial risk models more transparent to helping retailers see what drives sales, we’ll explore real-world examples and focus on hands-on skills for building understandable models, including the use of Shapley values.
Human Intelligence vs. Artificial Intelligence
Session en Anglais - Intermédiaire
What do they have in common? This session explores AI through the lens of neuroscience, drawing parallels between how the brain processes information and AI developments. We’ll highlight key definitions, milestones, and evaluation gaps in both fields, and consider how close we are to achieving AGI.
