I am a Master's student in Computer Science at McGill and Mila, supervised by Blake Richards and Shahab Bakhtiari. I'm interested in leveraging AI models to study human learning processes. In my free time, I love to read, figure skate, and crochet.

I’m a PhD student in Electrical and Computer Engineering at McGill University and Mila, supervised by Professor Tal Arbel. My research focuses on deep learning and generative modeling for medical imaging, particularly self-supervised and diffusion-based methods for neurological diseases such as multiple sclerosis and Alzheimer’s.

I am a Master’s student in Computational Medicine (Clinical Sciences) at the Université de Montréal, under the supervision of Franco Lepore and Shahab Bakhtiari. My research investigates how perceptual and contextual factors influence multisensory integration and how audiovisual systems can be jointly modeled to capture these dynamics.

Emmanuelle Coutu-Nadeau is a Master’s student in Psychology at the Université de Montréal, under the supervision of Dr. Sarah Lippé, where she applies artificial intelligence to EEG data to identify biomarkers of autism. She holds two undergraduate degrees from McGill University, in Software Engineering and Psychology, and has worked in digital health at CareSimple as a software developer and later as a project manager. Emmanuelle is also a mentor for Technovation Montréal, where she supports girls aged 8 to 18 in creating mobile applications with social impact. Her background reflects a unique expertise at the intersection of technology, health, and psychology.

I am a Master’s student in Psychology at Université de Montréal, co-supervised by Lune Bellec and Audrey Durand. My research combines behavioral data, artificial intelligence models, and video game simulations to compare how humans and artificial agents explore and learn from their environments.

I am a Master’s student in psychology (specialization in computational and cognitive neuroscience) at Université de Montréal. I am co-supervised by Dr. Ian Charest and Dr. Frédéric Gosselin, studying the mental geometry of the human mind between vision and mental imagery similarities. My main research ambition is to turn imagination and mental content into something you can see, using advanced neuroimaging and neuromodulation techniques such as geodesic transcranial electrical neuromodulation. Outside the lab, I enjoy literature, rock music and getting lost in new countries.

I am a PhD student working with Vincent Taschereau-Dumouchel on bridging the gap between quantitative and qualitative approaches in cognitive neuroscience and computational psychiatry. During my master's, I worked on mapping out subjective experience using a combination of psychometrics, NLP and generative AI, with a focus on accelerating mental health care research. I now aim to develop innovative applications of AI to the study of brains and consciousness. Being part of the UNIQUE SAC, as well as the broader neuroAI community, has been a huge source of inspiration and motivation, which is why I'm eager to continue on this path for a second year.