Ovidiu Șerban is a research-focused software engineer with over a decade of experience applying real-time NLP, unsupervised ML and large-scale data extraction to messy, unstructured sources. Currently a Research Fellow at Imperial College London and the Data Science Institute, he builds performant pipelines for event detection and large-scale visualisation while bridging HCI, user modelling and affective computing. His background spans academia and industry—from postdoctoral work at Cambridge creating structured procurement datasets to earlier high-frequency Java engineering at TORA—giving him rare fluency across systems, algorithms and human-centred design. He also co-founded a stealth startup and moderates robotics discussions, reflecting an entrepreneurial and community-minded streak beyond his publications. Notably, his work emphasizes practical real-time performance on noisy web and social data, turning ambiguous inputs into structured, actionable insights.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at INSA Rouen Normandie
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Babes-Bolyai University
Contributions:19 PRs, 20 pushes, 17 branches in 3 years 8 months
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Ovidiu Șerban - Research Fellow at Imperial College London