Lukman Jibril Aliyu

Welcome to My Personal Website

Welcome! My name is Lukman Jibril Aliyu, and I am a pharmacist committed to advancing Biomedical Informatics and Artificial Intelligence to improve healthcare outcomes. My work stands at the intersection of healthcare, technology, and data, and I hope to create solutions that address critical challenges in healthcare delivery, especially in underserved areas.

This website highlights my projects, publications, and the journey that has taken me from pharmacy practice to the cutting-edge fields of Biomedical Informatics and AI. My work touches upon Global Health, Epidemiology, and Biostatistics—each of these domains contributing towards my overarching goal of transforming healthcare through data-driven innovations. From improving medical supply chains and logistics, to modeling disease dynamics, to applying biostatistical methods for personalized interventions, my focus remains on impactful solutions for real-world health challenges.

Feel free to explore my projects and publications to understand more about my passion for harnessing technology to build a healthier world.

Learn more about me

Latest Updates

  • January 2024: Our paper titled Leveraging AI to Optimize Vaccines Supply Chain and Logistics in Africa: Opportunities and Challenges was accepted by Frontiers in Pharmacology.
  • December 2024: Our paper titled Enhancing primary healthcare delivery in Nigeria through the adoption of advanced technologies was published.
  • November 2024: Featured across all DeepLearning.AI social media platforms for my remarkable journey integrating AI into my professional practice, as documented in my blog article
  • September 2024: Won 3rd place in the Data Science for Health Ideathon at the Deep Learning Indaba, 2024.
  • August 2024: Earned the “Devotee” badge on the DeepLearning.AI Forum for participating consistently for 365 consecutive days.
  • August 2024: Selected as a Mentor by DeepLearning.AI and Coursera for the Tensorflow Developer Professional Certificate as a result of my insightful contributions as a course tester.
  • November 2023: Presented our research paper: Analyzing COVID-19 Vaccination Sentiments in Nigerian Cyberspace: Insights from a Manually Annotated Twitter Dataset, at the International Conference on Computing and Advances in Information Technology (ICCAIT).
  • May 2023: Came second place in the Cohere AI Hack for developing a language alignment tool.