Chris Emezue

chris.emezue@gmail.com

Cognitive Science

Causality

Computational Biology

Deep Learning

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

Research Intern, Intern MSc, Université de Montréal

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.