I love nature...
A summer view at the Old Port of Montreal, Montreal, Canada.
... and unique moments
Solar eclipse 3:27 p.m. at the Saint Joseph's Oratory of Mount Royal, Montreal, Canada.
I find peace in beauty...
Colorful wooden warehouses from the Gamle bybro, Trondeim, Norway.
... in beautiful landspaces
Morning calm on the Kanalen crossing the Nidelva River, Trondheim, Norway.
... when cities breathe the sea
Gray afternoon at Queens Wharf, Auckland, New Zealand.
... and the sky whispers goodbye.
Reddish sunset at 8:06 p.m. over the Capital, Ottawa, Canada.
Henri Aïdasso is a Ph.D. Researcher in Computer Engineering at École de technologie supérieure (ÉTS), University of Quebec. His research focuses on AI for Software Engineering, developing efficient machine learning methods to improve the reliability of CI/CD pipelines and software delivery processes. His work applies Machine Learning, Natural Language Processing, Language Models, and Statistical Models to heterogeneous data (execution logs, process metrics) to enable intelligent automation for reliability engineering. He conducts his research within the ÉTS Industrial Research Chair in DevOps (supervised by Prof. Francis Bordeleau) and as a Mitacs Accelerate Fellow with TELUS, where his methods are applied to production-scale distributed systems. He has been awarded the Arbour Foundation Doctoral Scholarship for academic excellence and leadership. Parallel to his doctoral work, Henri is an Applied Research Scientist at the Computer Research Institute of Montreal (CRIM) and a part-time Lecturer at ÉTS. His broader research interests include efficient NLP for low-resource settings, reliable AI systems, and multimodal learning.
Prior to his PhD, Henri was a Data Scientist at Energiency in France, where he led the development of cloud-based ML systems for real-time energy optimization in Industry 4.0 factories, designing distributed training pipelines and deploying dozens of production models. Earlier, he built software engineering expertise across healthcare, fintech, and public sector organizations including Worldline and the Port Authority of Cotonou.
Henri is completing his Ph.D. in Computer Engineering at École de technologie supérieure (ÉTS) in Canada, where he was awarded the Arbour Foundation Doctoral Scholarship. He holds a Master of Science in Big Data and Machine Learning (2022) and a Bachelor of Science in Computer Science (2020) from the University of Rennes in France, graduating as valedictorian with highest honors (mention Très Bien) for both degrees. Earlier, he earned a Bachelor of Science in Computer Science and Management (2017) from the University of Abomey-Calavi in Benin as a government excellence scholar.