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Chris Emezue

Graph Neural Networks
Knowledge Graphs
Medical Machine Learning (ML)
Multimodal Learning
Natural Language Processing (NLP)
Reasoning
Recommender Systems
Recurrent Neural Networks
Reinforcement Learning (RL)
AI Ethics
Cognitive Science
Causality
Computational Biology
Deep Learning
Chris Chinenye Emezue
Research Intern, Intern MSc, Université de Montréal

I’m currently doing a masters research in UdeM under the supervision of Christopher Pal & Derek Nowrouzezahrai. Previously, I was a research intern with Professor Yoshua Bengio and Dianbo Liu where I worked on natural language processing, causality and GflowNets applications (1,2).

I am passionate about real-world applications of natural language processing — leading to works majorly involving African languages like Masakhane, FFRTranslate, Lanfrica, OkwuGbe — as well as the intersection of NLP and Healthcare. I am also very active in the intersection of causality and reinforcement learning.