Competitive recognition across research, competitions, and professional achievement. Each represents rigorous peer review or public validation.
COMPETITIVE SCHOLARSHIP
Google DeepMind Scholarship
AIMS / Stellenbosch University · 2025–2026
Full scholarship covering tuition, accommodation and living costs. One of Africa's most competitive awards for AI research talent — fewer than 15 awarded annually across the entire continent to exceptional candidates.
This is one of the world's most selective AI research scholarships, awarded only to graduates who demonstrate both exceptional research promise and commitment to trustworthy AI.
WORLDWIDE COMPETITION
5th place, Hausa track — SemEval-2026 Task 9
Polarization manifestation identification (low-resource NLP) · 2026
Ranked 5th globally on the Hausa track (out of 50+ teams), 14th on English. Research published in Proceedings of SemEval-2026 (ACL), pp. 1632–1640, San Diego, USA.
ACL (Association for Computational Linguistics) is the top peer-reviewed venue for natural language processing. SemEval is the premier shared task competition for evaluating semantic and lexical systems on benchmark datasets.
REGIONAL HACKATHON
Finalist, IndabaX Cameroon Hackathon
Deep Learning Indaba Network · 2025
Data visualization innovation track. Selected from 80+ teams across Cameroon. Organized by the Deep Learning Indaba, Africa's largest AI research community and conference.
Deep Learning Indaba is the premier AI conference in Africa, bringing together researchers and practitioners from across the continent. IndabaX events provide a forum for demonstrating applied AI skills under competitive conditions.
INSTITUTIONAL RECOGNITION
2nd Prize, Data Visualization Competition
ISSEA-CEMAC · 2024
Best data storytelling on employment statistics and economic trends in Africa. Recognized for clarity of insight and decision-oriented narrative design.
ISSEA (Sub-Regional Institute of Statistics and Applied Economics) is Africa's flagship institution for training statisticians and economists in data science at scale.