Summary
Ignatius Ezeani is a research-focused NLP and AI scientist with a decade of experience developing resources and adaptation techniques for low-resource languages, currently a Visiting Researcher at Microsoft and Research Fellow at Lancaster University. He leads and contributes to multimillion- and six-figure funded projects that produce practical tools for summarization, question answering, NER and machine translation for languages such as Igbo and Welsh, including an Igbo-English MT benchmark funded by Facebook. His work bridges corpus linguistics, distributional semantics and deep learning to make pre-trained models efficient and usable in under-resourced contexts. He combines academic roles—PhD/MSc supervision and seminar organization—with policy and funding advisory work (Lacuna Fund Technical Adviser, REC Institutional Self Assessment Team). As director of Africa@UK and a member of Masakhane, he pairs research with community-driven dataset creation and capacity building across African NLP. He is also an active advocate for equality, diversity and inclusion, bringing those principles into both research practice and institutional governance.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree, Computer Science, First Class, Bachelor's Degree, Computer Science, First Class at Nnamdi Azikiwe University
Doctor of Philosophy (Ph.D.), Natural Language Processing - Computer Science, PhD, Doctor of Philosophy (Ph.D.), Natural Language Processing - Computer Science, PhD at The University of Sheffield
Master's Degree, Advanced Software Engineering - Computer Science, Merit, Master's Degree, Advanced Software Engineering - Computer Science, Merit at Bournemouth University
English, Igbo