Avery is a master's student at Université de Montréal and Mila supervised by Matthew Perich and Guillaume Lajoie. He is interested in studying the representations and dynamics within biological and artificial neural networks for the purpose of creating better AI algorithms and assistive neurotechnologies.

I'm a master's student in neuroscience at UdeM. My research focuses on social and cognitive neuroscience using machine learning analysis. This is my second year at SAC, and I'm really looking forward to organizing events for this new year!

I'm a PhD student in Christian Gagné and Flavie Lavoie-Cardinal's labs at Laval University and the CERVO Brain Research Centre. My research focuses on the development of deep learning tools for the analysis of optical microscopy data. I am interested in the study of synaptic plasticity and synaptic degenerescence in neurodegenerative diseases through deep anomaly detection approaches.

Hamza Abdelhedi is a computer science research master's student at the University of Montreal, specializing in the field of neuro-AI. He holds a diploma in telecommunications engineering from the Higher School of Communication of Tunis (SUPCOM) and has a background in mathematics from his pre-engineering studies. He is a Graduate Research Assistant at the Cognitive & Computational Neuroscience Lab, supervised by Dr. Karim Jerbi. Hamza's primary focus is on exploring the integration of artificial and biological neural networks in face recognition, utilizing deep learning techniques and Magnetoencephalography (MEG) to analyze internal representations with the aim of contributing to our understanding of the brain's complexities.

I am a third-year Ph.D. student at IPN, McGill, and Mila working in the intersection of neuroscience and artificial intelligence. I develop artificial neural network models of attention in primates. In my free time, I enjoy watching movies, and drawing. Looking forward to all the cool UNIQUE events we will have this year!

I’m a PhD student at Université de Montréal supervised by Prof. Guillaume Lajoie, working on problems at the intersection of computational neuroscience and deep learning theory. I aim to use tools from dynamical systems theory and latent variable modelling to understand and develop theories about neural computation and learning.

I am a Neuroscience PhD student at McGill University's Integrated Program, collaborating with Prof. Sylvain Baillet and Prof. John Kalaska in advancing knowledge of non-motor functions of the motor cortex, an area of the brain classically known for its role in executive functions such as decision making. I have a strong interest in devising and implementing sophisticated techniques to measure complex patterns in ongoing human brain activity. I am very excited to be part of the UNIQUE community and looking forward to collaborating with other members of this community to improve our understanding of the brain and develop new tools to address important questions in neuroscience.

I am a master's in clinical sciences and computational medicine at the Université de Montréal. My experience in computational psychiatry and cognitive neuroscience fuels my motivation to develop innovative applications of AI to the study of brains and consciousness. Broadly, my interests lie in elucidating the quality of subjective experience with respect to mental health with a transdisciplinary approach.

I'm a Master's student in Computer Science at Mila and Université de Montréal. I'm interested in Artificial Intelligence and Computational Neuroscience. My research focuses on understanding the relationship between the brain's structural and functional connectivity and how it influences learning dynamics.