Chris C. Emezue
Scholar

Chris C. Emezue

Google Scholar ID: PBHOsekAAAAJ
Mila, University of Montreal
machine learningspeech and language processingreinforcement learningcausality
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
3,669
 
H-index
18
 
i10-index
21
 
Publications
20
 
Co-authors
0
 
Contact
Emailchris.emezue@gmail.comCVOpen ↗TwitterOpen ↗GitHubOpen ↗LinkedInOpen ↗
Resume
Academic Achievements
  • - Published multiple research papers on natural language processing
  • - Overall Winner of the Bambara-French Machine Translation Competition
  • - Led his team to victory in the HACK|BAY 2022 hackathon
  • - Won in all tasks in the GSK.ai GeneDisco Challenge
Research Experience
  • - Serving as a Reviewer at Deep Learning Indaba 2023
  • - Serving as a Reviewer at ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling
  • - Volunteer Expert in the Development of the Nigerian National Artificial Intelligence Policy (NAIP)
  • - Invited Speaker at KLS Talk webinar hosted by Kabod Group's Language Department
  • - Partner Organizer for AfriSpeech-200 Automatic Speech Recognition Challenge
  • - Co-organizer of the 3rd Workshop on Multilingual Representation Learning, collocated with EMNLP 2023
  • - Serving on the Program Committee as a Reviewer at ACL 2023
  • - Leader of the team `AlphaTeam` winning the Bambara-French Machine Translation Competition
  • - Co-organizer discussing how to build language technologies for minority/indigenous/endangered languages
Background
  • Chris Emezue is a mathematician and computer scientist with a passion for languages and improving people's lives with technology. He has spent half a decade designing inclusive AI technologies that better serve the African population. His research areas cut across natural language processing, causality, and reinforcement learning.
Miscellany
  • Interests include using technology to improve people's lives, with a particular focus on digital and technological representation in Africa.