Cornelius Adejoro

Ph.D. Candidate in Computer Science @ CU Boulder

On the job market - seeking full-time Research Scientist or UX/AI Research roles.

My research focuses on making AI more understandable, useful, and responsive to people's needs by drawing on their everyday experiences, local knowledge, and values. I design and develop LLM-based tools, including retrieval-augmented generation (RAG) systems and multi-agent AI systems that support learning and work. I test these tools with real users to understand how people learn with, rely on, and collaborate with AI. Through mixed-methods research, I translate these insights into practical design recommendations while ensuring that communities often overlooked in AI development have a voice in shaping its future.

Advised by Dr. Tom Yeh at the Department of Computer Science, University of Colorado Boulder.

Portrait of Cornelius Adejoro

Research

Human-Computer Interaction

Studying how people understand and work with emerging AI systems.

Human-Centered AI

Designing AI that centers human trust, collaboration, and context.

AI Literacy

Making AI understandable for learners and educators in the Global South.

AI Agents & Multi-Agent Systems

Designing and evaluating AI agents that support learning, collaboration, and complex tasks.

Cornelius Adejoro presenting research at AfriCHI

News

Latest updates

Publications

Selected papers

Peer-reviewed papers and book chapters at CHI, EAAI (AAAI), IDC, AfriCHI, ICML, and Springer.

  1. 2026

    Teaching AI by Hand in Underserved Contexts: Framework and Insights from Nigerian Educators

    Adejoro, C. O., Anuyah, O., Sakpere, A., Ani, U. E., Tijani, I. E., & Yeh, T.

    CHI EA '26
  2. 2026

    Position: Breaking the Dual Curse of Multilingual AI Requires Socio-Technical Guardrails, Not Post-Hoc Alignment Alone

    Lucas, J. S., Irikefe, P. O., Uchendu, A., Najaer, U., Adejoro, C. O., Sterling, P., & Lee, D.

    ICML 2026 (Position Track)
  3. 2026

    Exploring Cross-Cultural Perspectives on AI Education: Insights from Teachers in Nigeria and the USA

    Adejoro, C. O., Anuyah, O., Badillo-Urquiola, K., Raza, A., & Yeh, T.

    EAAI (AAAI) '26
  4. 2025
  5. 2023

    Cultural Considerations in AI Systems for the Global South: A Systematic Review

    Anuyah, O., Wan, R., Adejoro, C. O., Yeh, T., Metoyer, R., & Badillo-Urquiola, K.

    AfriCHI '23
  6. 2023

Portfolio

Selected projects

Table mapping Ubuntu attributes to research findings and design implications.

Human–AI Interaction, Cognition, and Culture

How do people's cultural contexts shape trust and collaboration with AI? I led a five-person team studying these questions with 12 educators in Nigeria and the U.S., developing six AI literacy frameworks informed by HCI, cognitive science, and sociocultural theory.

Scanned pages of handwritten essays by children.

Empowering Children to Imagine AI Futures

Exploring how creative writing can bring children's voices into AI design. Working with teachers in Nigeria, I helped organize an inclusive writing contest for 30 children aged 10–13, inviting them to imagine how AI could address community needs and reflect their cultural values.

Triangular framework diagram linking conceptual foundations, pedagogical adaptability, and community-based support.

AI Adoption in the Global South

Investigating how infrastructure, culture, and local priorities shape AI adoption in under-resourced communities. I led research across five teams, including workshops with 56 teachers, to inform human-centered design and policy recommendations.

Illustration of documents feeding into multiple AI agents and an open book.

Multi-Agent AI for Education

Designing culturally grounded AI learning experiences and studying how students trust and use them. I built a retrieval-augmented learning system supported by a knowledge base of over 5,000 K–12 lesson plans and evaluated student interactions across three classrooms.

Upward-trending line chart on a dark background.

Predicting Occupational Automation Risk

Exploring how automation risk varies across occupations, wages, education levels, and geography. Using approximately 20,000 U.S. labor records, I developed predictive models and visual analyses to inform workforce planning and policy decisions.

Speech waveform with markers above a colored grid heatmap.

Recognizing Emotion in Speech

Comparing deep learning approaches to recognizing emotion across speech datasets. We developed an audio processing and augmentation pipeline for over 10,000 samples, achieving approximately 77% overall accuracy while examining differences in performance across emotions.

Recognition

Awards & press

Awards & Fellowships 🏅

  • Dean's Future Leaders Fellowship
  • Early Career Research Award
  • Graduate Fellowship in Community-Engaged Research
  • Outstanding Teaching Assistant Award - CU Boulder

Background

Experience & service

Experience

  1. Graduate Research Assistant

    University of Colorado Boulder

    Advised by Dr. Tom Yeh. HCI, Human-Centered AI, and AI Literacy.

  2. Course Instructor & Teaching AssistantHuman-Computer Interaction

    CU Boulder

    Teaching and mentoring in HCI and Senior Capstone Projects.

  3. High School Teacher (6 years)

    Nigeria's federal public education system

    An experience that continues to shape my focus on AI education in resource-constrained settings.

Previous Education

Before my PhD studies, I obtained:

  • University of Colorado Boulder logo

    M.S. in Computer Science

    University of Colorado Boulder, Colorado, USA

  • University of Nigeria logo

    M.S. in Computer Science

    University of Nigeria, Nsukka, Nigeria

  • University of Agriculture logo

    B.S. in Mathematics and Computer Science

    University of Agriculture, Makurdi, Nigeria

  • Federal College of Education logo

    Nigeria Certificate in Education (NCE), Computer Science and Mathematics

    Federal College of Education, Okene, Nigeria

Service & Community

  • Reviewer - EAAI, IDC, AfriCHI, International Journal of Human-Computer Studies
  • Student Captain - Africa AI Reading Club, CU Boulder
  • Mentor - Black in AI's Emerging Leaders in AI program

Contact

I'm always glad to discuss collaborations on human-centered AI. The best way to reach me is by email.