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

Selected GitHub artefacts

Public research code, packages, and agent-evaluation projects.

This mirrors the frontier-facing project set on the AI research portfolio: coding-agent evaluation, low-resource NLP tooling, and dimensional sentiment analysis.

Labelled trace dataset

Coding Agent Failure Atlas

A synthetic atlas of coding-agent failure traces for monitor research, with evidence spans, intervention points, and safer counterfactuals.

Open repository

Monitor evaluation harness

Coding Agent Monitor Lab

A small research lab for testing whether monitors can catch risky coding-agent traces using structured evidence rather than broad completion scores.

Open repository

Released Python package

Low-Resource NLP Toolkit

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

Repository PyPI package

Multilingual sentiment research

Dimensional ABSA Research

Research code for predicting how people feel about specific aspects in text, using valence-arousal scores for finer-grained sentiment beyond positive or negative labels.

Open repository

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.

Multilingual NLP

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

Emotion and music AI

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

Responsible AI

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

RAG and research agents

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

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 Research Assistant on a British Academy-funded cultural heritage AI literacy project

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