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Dr. Philip Obiorah is a Learning Development Coach in Computing at The University of Â鶹ֱ²¥, having joined the University in 2024. He holds a PhD in Computer Science and an MSc in Applied Data Science with Distinction.

Philip combines academic teaching, coaching and learner development with practical experience in AI and data-driven solutions. At Â鶹ֱ²¥, he teaches and supports students and degree apprentices across Computing and Applied Data Science, helping learners develop both technical knowledge and the ability to apply it in professional contexts.

His research and technical interests include Artificial Intelligence, Machine Learning, Generative AI, Large Language Models (LLMs), multimodal AI, Retrieval-Augmented Generation (RAG), intelligent agents, MLOps and responsible AI.

Philip is a Google Developer Expert (GDE) in Cloud AI, a Google Cloud Professional Machine Learning Engineer, an Oracle Certified Java Programmer, and a Professional Member of the British Computer Society (MBCS).

Beyond the University, Philip leads GDG Cloud Port Harcourt and co-organises PyData Milton Keynes. He regularly contributes to developer and academic communities through technical talks, workshops, teaching, mentoring and knowledge-sharing activities.

Selected Publications

Obiorah, P., Diri, G. and Du, H. (2025) ‘Comparative evaluation of traditional, lexicon-based, and transformer models for sentiment classification’, in Jones, M. (ed.) Proceedings of InSITE 2025: Informing Science and Information Technology Education Conference. Informing Science Institute, Article 23.

Obiorah, P., Onuodu, F. and Eke, B. (2022) ‘Topic modeling using Latent Dirichlet Allocation and Multinomial Logistic Regression’, Journal of Digital Innovations & Contemporary Research in Science, Engineering & Technology, 10(4), pp. 99–112.

Obiorah, P., Onuodu, F. and Eke, B. (2022) ‘mlChatApp: Topic modeling in online chat groups’, Journal of Advances in Mathematical & Computational Science, 10(3), pp. 101–110.

Obiorah, P., Eke, B.O. and Oghenekaro, U.L. (2016) ‘PH SNIFF: A packet sniffer for network monitoring and traffic analysis’, Computing, Information Systems, Development Informatics & Allied Research Journal.