Avery (Hee-Woon) Ryoo

I am a Master’s student in Computer Science at Université de Montréal, where I am advised by Dr. Matthew Perich and Dr. Guillaume Lajoie. Prior to joining Mila, I completed a Bachelor’s in Biomedical Engineering at the University of Waterloo.

I am intrigued by how the brain can learn adaptable representations from minimal amounts of data to solve a variety of complex tasks. I believe that insights from biological learning will allow us to build more robust, efficient, and interpretable AI architectures and training schemes. To investigate this, I aim to use tools from deep learning theory, dynamical systems, and generative modelling. Some other interests include cognitive science, foundation models, and brain-computer interfaces.

Currently, I am working on a mixture of projects including multimodal foundation models for neural data, biologically-realistic self-supervised learning, and random networks.