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Andrew Zeng

Deep Learning
Learning on Graphs
Graph Neural Networks
Knowledge Graphs
Multimodal Learning
Neuroscience
Natural Language Processing (NLP)
Online Learning
Reasoning
Recurrent Neural Networks
Reinforcement Learning (RL)
Robotics
Cognitive Science
Learning to Program
photo of Andrew Zeng
Research assistant, Student B.Sc., Student, B.Sc., Concordia University, McGill University

I study applied mathematics at McGill. I am currently working with Prof. Pouya Bashivan on using transformers to accelerate training of neural networks. In the past, I had the privilege to work with Prof. Christopher Steele and Zaki Alasmar on mapping white matter gradients and correlating them with human behaviour.