Summary
Hoang-son Pham is a data science and AI-focused postdoctoral researcher with nine years of experience applying machine learning and pattern mining to interdisciplinary research information, legacy software analysis, and genomic data. Based in Brussels, he combines strong academic training (PhD in Computer Science from Université de Rennes I) with practical programming across Python, Java and C++, and a track record of implementing subtree and subgraph mining, unsupervised learning, and ML-driven indicators. His recent work centers on modelling and visualizing research information to measure interdisciplinarity and benchmark institutions, blending technical data re-processing with domain-specific semantic documentation. Earlier roles in teaching and IT operations give him hands-on systems and networking experience that complements his research rigor. He is especially adept at turning complex, heterogeneous datasets into actionable metrics and visual monitoring tools that support institutional decision-making.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université de Rennes I
Master, Infomation System, Master, Infomation System at Cantho University - Vietnam
English, Vietnamese, French