KKC Oyinkansola Onwuchekwa
Headshot of Oyinkansola Onwuchekwa.

Research

Auditable AI research with cultural context.

Coding-agent evaluation, multilingual NLP, music emotion analysis, low-resource language technologies, responsible AI, and digital heritage research.

Research profile

Agent behaviour, emotion, language, and meaning.

Oyinkansola Onwuchekwa is an AI Engineer and Research Scientist whose work connects coding-agent evaluation, low-resource NLP, responsible AI, and cross-cultural emotion modelling. She builds tested Python tools, trace datasets, monitor harnesses, and evidence-grounded workflows for research and decision-making.

Her PhD research at the University of Hull explores cross-cultural musical elements, emotional expression, and genre characteristics in contemporary global music lyrics using NLP and deep learning. The wider research profile sits at the intersection of AI, music, language, identity, cultural heritage, and public good.

AI research portfolio GitHub LinkedIn

Public research work

Research code, released tools, and maintainer-reviewed contributions.

Public work across coding-agent evaluation, low-resource NLP, and open-source AI tooling.

Released Python package

Low-Resource NLP Toolkit

Utilities for African language pre-processing, emotion-label mapping, evaluation, language routing, and code-switching audits.

PyPI package

Maintainer-accepted contribution

Haystack

Accepted contribution to the Haystack framework, a widely used open-source library for building AI applications.

View merged contribution

Maintainer-accepted contribution

Sentence Transformers

Accepted contribution to Sentence Transformers, supporting practical work with embedding models and semantic search.

View merged contribution

Research interests

Technical depth shaped by cultural knowledge.

Coding-agent evaluation

Trace-level datasets, monitor experiments, evidence spans, intervention points, safe counterfactuals, and testable failure modes for agentic AI systems.

Explore the evaluation harness

Multilingual NLP

Low-resource language modelling, language routing, bias-aware evaluation, African language NLP, and multilingual data pipelines.

Explore the Python toolkit

Emotion and music AI

Emotion recognition in music and text, cross-cultural analysis, lyric modelling, Afrobeats analytics, and multimodal interpretation.

Read about emotion and cultural context

Responsible AI

Human-centred AI, fairness, representation, digital heritage, community-led data governance, and AI literacy in cultural contexts.

Explore the cultural heritage project

RAG and research agents

Systematic literature review workflows, protocol generation, screening support, evidence synthesis, auditability, and reproducible structured outputs.

Read about my research-agent work

Roles and recognition

Research, teaching, peer review, and public service.

PhD Data Science and AI, University of Hull
Role AI Research Engineer, SAGE-AI, University of Hull
Project role Research Assistant, DAIL-ICH cultural heritage AI literacy project, November 2024 to April 2026
UKRI Member, EPSRC and NERC Peer Review Colleges
Reviewer ICLR and The Deep Learning Indaba
Professional Associate Fellow, Advance HE, and Professional Member, BCS

Public materials

Institutional project context and research writing.

Featured project

DAIL-ICH: Digital/AI literacy for community-led cultural heritage data governance

British Academy-funded research on responsible technology, digital heritage, community knowledge, and AI literacy for intangible cultural heritage contexts.

Project page Project PDF
Medium
Medium article AI-Powered Cross-Cultural Study of Emotions in Music Lyrics

A research-facing Medium article on AI, music lyrics, emotion analysis, and cross-cultural interpretation.

Read on Medium

Research collaboration

Build culturally grounded AI with KKC.

For academic invitations, applied AI partnerships, reviews, workshops, and research collaborations.

Start a research enquiry