Tristan A.A.
Tristan Aumentado-Armstrong


I am currently a graduate student in Artificial Intelligence at the University of Toronto, Department of Computer Science.

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Research History

My initial research work was in structural molecular bioinformatics, including macromolecular imaging via transmission electron microscopy and protein surface interface site prediction.

I then spent time in the computational neuroscience lab of Prof. Maurice Chacron, simulating and analysing sensory pathway midbrain cells with invariant recognition properties involved in animal communication. I also interned at the McGill Centre for Integrative Neuroscience within the Montreal Neurological Institute, working with Prof. Tristan Glatard, on scientific computing tools for neuroinformatics.

Afterwards, I joined the lab of Prof. Kaleem Siddiqi in the Centre for Intelligent Machines. I worked on medical computer vision, biophysical modelling, and medical image analysis of the heart, as well as geometric feature extraction from shapes.

Currently, I am a graduate student co-supervised by Prof. Sven Dickinson and Prof. Allan Jepson, working on shape representation and understanding in computer vision and machine learning. I am also an intern at the Samsung Artificial Intelligence Centre in Toronto and a post-graduate affiliate of the Vector Institute for Artificial Intelligence.

Research Interests

My research interests lie in artificial intelligence, particularly the subfields of computer vision and machine learning. I am especially interested in representation learning of objects, and in particular how intelligent systems can learn generative models of objects in both 3D and 2D. This includes natural approaches to modelling shape, such as deformable and parts-based representations, and disentangling object attributes (shape, pose, and appearance). Such approaches can be useful for helping an AI agent model the world, e.g. for intuitive physics simulations or planning in reinforcement learning, as well as for applications within computer vision and graphics.

I am also interested in applying AI techniques to biological modelling and medical informatics (e.g., molecular generation, medical image analysis).

Education Background

I hold two undergraduate degrees from McGill University: one in Anatomy and Cell Biology, with a minor in Computer Science (2014), and one in Computer Science, with a minor in Mathematics (2016). Currently, I am a PhD student in Computer Science at the University of Toronto, where I received a master's degree in Computer Science (2018).

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