Charles Nimo


Ph.D. Student in Computer Science at Georgia Tech

“Be the change you want to see in the world!”

GET TO KNOW ME

Charles Nimo

Charles Nimo

Ph.D. Student in Computer Science

Georgia Institute of Tehnology

LET ME INTRODUCE MYSELF

Hello! My name is Charles. I am a third-year Ph.D. student in Computer Science at Georgia Tech working with Dr. Michael Best and Dr. Irfan Essa. I’m fortunate to be a receipient of the GEM Ph.D. fellowship.

My research focuses on human-centered natural language processing for healthcare and multilingual AI systems in low-resource contexts. My work involves developing tools to evaluate and improve the safety, robustness, and cultural adaptability of large language models. I’m motivated by a broader interest in addressing societal challenges through AI, building systems that are fair, safe, and inclusive across languages and cultures.

Prior to joining Georgia Tech, I completed my M.S. in Computer Science from the University of Texas at Austin, where I worked with Dr. Ying Ding in the AI Health Lab. Before that, I earned my B.S. in Electrical and Computer Engineering at Virginia Commonwealth University.

Outside of research, I enjoy filming with my camera, traveling, spending time outdoors, and watching or playing sports.

You can find more information in my CV.

Interests
  • Human-Centered Natural Language Processing
  • Fairness, Bias, and AI Safety
  • Model Evaluation and Alignment
Education

  • Doctor of Philosophy in Computer Science

    Georgia Institute of Technology

  • Master's of Science in Computer Science, 2023

    The University of Texas at Austin

  • Bachelor's of Science in Electrical and Computer Engineering, 2017

    Virginia Commonwealth University

Recent News

📰 Recent Updates

2025.10 — 💡 Honored to have been selected for the Doctoral Consortium at the Summit on Responsible Computing, AI, and Society hosted at Georgia Tech
2025.09 — 🏆 AfriMed-QA featured on the Google Research Blog for its global health impact.
2025.08 — 🧠 Africa Health Check paper accepted to EMNLP 2025 Main Conference (Suzhou, China)!
2025.08 — 🧩 Co-organized the Data Science for Health in Africa Workshop at Deep Learning Indaba 2025 in Kigali, Rwanda.
2025.08 — 🎙️ Gave a talk at Qhala in Nairobi, Kenya.
2025.07 — 🥇 AfriMed-QA received the Best Social Impact Paper Award at ACL 2025 in Vienna!
2025.07 — ✈️ Presented AfriMed-QA: A Pan-African Medical QA Benchmark at ACL 2025 in Vienna, Austria.
2025.07 — 🌍 Co-organized the Community-Driven Data Practices for Advancing Ethical and Equitable AI in Low-Resource Contexts Workshop at ACM COMPASS 2025 in Toronto.
2025.07 — 📰 I was interviewed for the article, “New Dataset Makes Health Chatbots Like Google’s MedGemma More Mindful of African Contexts”, highlighting our AfriMed-QA work in African healthcare.
2025.05 — 📄 AfriMed-QA paper accepted to the ACL 2025 Main Conference!
2025.05 — 🚀 Successfully passed the Computer Science Ph.D. Qualifier Exam at Georgia Tech!
2024.09 — 🎓 Awarded the Tapia Conference Scholarship and attended Tapia 2024!
2024.04 — 📊 Presented poster at the 2024 ISyE Junior Researcher Workshop, Georgia Tech.
2023.08 — 🌐 Started Ph.D. in Computer Science at Georgia Tech, advised by Dr. Michael Best and Dr. Irfan Essa.
2023.05 — ✨ Awarded GEM Ph.D. Fellowship.
2023.03 — ✈️ Grateful to receive Ph.D. offers from Carnegie Mellon University, University of Texas at Austin, Johns Hopkins University, and Georgia Tech. I’m excited to visit each campus and explore the path that fits best!

Selected Publications

📚 Selected Publications

  • EMNLP 2025
    Africa Health Check: Probing Cultural Bias in Medical LLMs
    Charles Nimo, Shuheng Liu, Irfan Essa, Michael L. Best
    Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Main Conference) · Suzhou, China
    ABS | DOI

  • COMPASS 2025
    Community-Driven Data Practices for Advancing Ethical and Equitable AI in Low-Resource Language Contexts
    Charles Nimo, Amy Z. Chen, Shuheng Liu, Ramaravind Kommiya Mothilal, Michael L. Best
    Workshop Proposal, Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS 2025) · Toronto, Canada
    ABS | DOI

  • ACL 2025
    AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset
    Tobi Olatunji*, Charles Nimo*, Abraham T. Owodunni∗, Tassallah Abdullahi, Emmanuel Ayodele, Mardhiyah Sanni, Ezinwanne C. Aka, Folafunmi Omofoye, Foutse Yuehgoh, Timothy Faniran, Bonaventure F. P. Dossou, Moshood O. Yekini, Jonas Kemp, Katherine A. Heller, Jude C. Omeke, Chidi Asuzu, Naome A. Etori, Aïmérou Ndiaye, Ifeoma Okoh, Evans D. Ocansey, Wendy Kinara, Michael L. Best, Irfan Essa, Stephen E. Moore, Chris Fourie, Mercy N. Asiedu
    Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) · Vienna, Austria
    🥇 Best Social Impact Paper Award
    ∗Co-first authors
    ABS | DOI