Chris Emezue

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Chris Emezue
Research Intern, Intern MSc, Université de Montréal
Chris Chinenye Emezue
Chris Emezue

I’m a Masters student in Mathematics in Data Science at the Technical University of Munich and a MSc Research intern with Professor Yoshua Bengio and Dianbo Liu. As an intern at Mila (from April to August 2021), I worked on leveraging text style transfer for racial debiasing. Furthermore, as a research scientist-in-residence with Mila and Dialogue, I built the pipeline for knowledge extraction from transcripts of medical consultations using the SNOMED CT ontology.

Currently at Mila, I am working with Stefan Bauer and other amazing researchers on Structure learning.

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.

I am very open to research and/or practical collaborations and partnerships.

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