Hi! I'm Henri Aïdasso, born and raised in Benin, a humble place that taught me the value of adaptability, efficiency, and hard work.
I recently completed a PhD in Artificial Intelligence and Software Engineering, at École de technologie supérieure (ÉTS), with grade Excellent and the jury nomination for the best doctoral thesis prize.
My doctoral research focused on the intelligent reliability of multi-component automated systems, specifically anomaly detection and diagnosis in software systems using efficient machine learning techniques. My work bridges AI research with real-world impact.
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Joined RBC Borealis as a Machine Learning Research Engineer.
Presented Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models at FSE 2026 in Montreal, Canada.
Defended my PhD in Computer Engineering with grade Excellent at École de technologie supérieure (ÉTS), University of Quebec.
Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models accepted at FSE 2026 Industry Track.
Towards Open-Ended Discovery for Low-Resource NLP accepted at the UncertaiNLP workshop @ EMNLP 2025.
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