News

  1. Our paper on annotation-efficient detection of endangered Western Leopard Toads was accepted to the CV4Ecology workshop at ECCV 2026. I attended the workshop in Malmö and presented the work as a poster. [LinkedIn post]

  2. Featured in Cape {town} Etc and Nature Connect for our work using computer vision to provide automated evidence that endangered Western Leopard Toads are successfully using wildlife underpasses.

  3. Attended the Deep Learning Indaba 2026, at Pan-Atlantic University in Lagos. I presented Toads, Tunnels, and Transformers: Deep Learning for Detection and Identification of Western Leopard Toads, a poster based on my master's thesis, and it was selected among the top 50 prize-winning posters.

  4. Graduated with distinction from AIMS South Africa with a master's in Mathematical Sciences, specializing in AI for Science.

  5. Defended my master's thesis on Western Leopard Toads in 1.2 million camera-trap images.

  6. Released Latent Geometry of Taste, my recommender-systems preprint built on 32 million movie ratings.

  7. Joined the Machine Learning for Ecology group at AIMS to build computer-vision tools for wildlife monitoring.

  8. Co-authored a data-driven framework for spotting at-risk students in Nigerian secondary schools.

  9. Spent four wonderfully nerdy days at the AIMS Quantum Learning Algorithms workshop.

  10. Presented our multilingual transcription and translation paper virtually at APCIT 2025. [doi]

  11. Started the AIMS AI for Science master's as a Google DeepMind Scholar.

  12. Gave a lightning talk on the Nollywood Movies IMDb Dataset at the Deep Learning Indaba.

  13. Presented two posters at the Deep Learning Indaba and, plot twist, both posters won awards. One grew out of my work with ML Collective. [poster]

  14. Won the Zeribe Nwosu Scholarship. A lovely vote of confidence for the road ahead.

  15. Volunteered with Foodimetric to build an African-centric food chatbot. Code for a cause.

  16. Presented our machine-learning approach to faster power-grid contingency screening at EIECon 2025. The paper is now awaiting publication by IEEE.

  17. Took Fish-NET to Data Science Africa for a poster session in Ibadan. [poster]

  18. Joined Rio Eigen as an AI/ML Engineer, building AI products and better annotation tools.

  19. Presented Fish-NET at the DSN AI Bootcamp. Another poster, another room full of good questions. [poster]

  20. Graduated from FUNAAB with a B.Eng. in Electrical and Electronics Engineering and a 4.40/5.00 CGPA.

  21. Published our SHAP vs. LIME study on explaining machine-learning predictions in a Springer volume.

  22. Published Fish-NET, an AI-powered monitoring and tracking system for Nigerian catfish farms.

  23. Joined ML Collective and began researching few-shot learning for blood-smear diagnosis.

  24. Entered Google's Solution Challenge twice; CleanUp was our bet on rewarding plastic-waste collection. No trophy, still worth building. [2022 certificate] [2024 certificate]

  25. Trained my first AI model at the DSN AI Bootcamp. It was an XGBoost classifier and the start of many experiments.

  26. Received the Senator Olamilekan Yayi Undergraduate Scholarship in back-to-back academic years.

  27. Completed the AWS AI & ML Scholarship and graduated from Udacity's AI Programming with Python Nanodegree.

  28. Completed Andrew Ng's Deep Learning Specialization through financial aid. It sparked my self-taught AI journey. [certificate]

  29. Facilitated DSN's AI Invasion in Abeokuta, helping more than 150 students get started with AI.

  30. Published explainers on image segmentation, computing Pi, and automating Android with Python.