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.

I am a graduate student at Mila and Université de Montréal supervised by Matthew Perich. My research interests lie at the intersection of artificial intelligence and neuroscience. I am intrigued by the brain’s remarkable ability to integrate information from different regions to produce complex behaviours and adapt to novel environments. Currently, I am working on understanding the underlying compositional structure of flexible behaviour in the brain.

I first worked as an engineer in renewable energy industry for 10 years, before completing am MSc in Neuroscience at UdeM on human attention and cerebral synchrony. Passionate about pedagogy, I am now developing innovative pedagogies for higher education or associations to address the cognitive challenges of ecological and social transition. In parallel, I am a PhD student in Psychiatry at UdeM, exploring the social interaction component of human consciousness and neurodiversity in the Precision Psychiatry and Social Physiology Lab at CHU Sainte-Justine!

Hello, I am Julia! I am doing a PhD in Paul De Koninck and Flavie Lavoie-Cardinal Labs, mostly working on actin cytoskeleton using super-resolution microscopy. From a complete neuroscience background, I now collaborate with students in machine learning that developed innovative methods to analyze images. Beyond science, I really enjoy helping to organize events. I actively engage with associations to organize student-friendly events, fostering both community building and professional development opportunities. I'm looking forward to the USS 2024 conference and the enriching experiences it promises to offer!

I am a master's student in neuroscience at McGill University and I study the brain networks of unresponsive patients in the intensive care unit diagnosed with a coma or disorder of consciousness. By studying how their brain's react to general anesthesia, my goal is to identify network properties which can help improve patient diagnoses and prognostication.

I am currently pursuing a Master's in Neuroscience at Université Laval. While my background is primarily in neurobiology, I am very enthusiastic about exploring artificial intelligence applications in neurophysiology. Specifically, my main focus is on building models to precisely correlate in vivo calcium dynamics with electrophysiological signals from neurons.

I am a PhD student in computer science. I am generally interested in modeling neural networks for understanding the brain and improving artificial intelligence. Particularly, learning algorithms that form memory and skills are of my interest because it contributes understanding the uniqueness of my human self. These algorithms may inspire researchers to innovate AI models that outperform in a new way. I am now narrowing down research topics related to the integration of bottom-up and top-down signals in neocortical circuits and its relation to learning and memory.