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About Me

Background

Hi, I’m Jeremie Nlandu Mabiala, an AI Engineer and researcher currently pursuing my master’s degree at the African Institute for Mathematical Sciences (AIMS) in Senegal.

I am Jérémie Nlandu Mabiala, an AI researcher and mathematician passionate about the theoretical foundations of machine learning and their practical applications. If you’re from an English-speaking culture, you can call me Jeremy.

Background

Education

I specialize in:

Current Studies- Machine Learning - Developing intelligent systems and algorithms

  • Student in Artificial Intelligence at the African Masters in Machine Intelligence (AMMI)- Computer Vision - Image processing and pattern recognition

  • A pan-African master’s program in Artificial Intelligence founded by Google and Meta- Mathematical Modeling - Applied mathematics for real-world problems

  • Hosted at AIMS Senegal- Natural Language Processing - Working with African languages and multilingual systems

Previous Education## Education

  • Master’s degree in Mathematical Sciences (February 2024)

    • Stellenbosch University and AIMS South Africa- Master’s in Mathematical Sciences - AIMS Senegal (Current)

    • Specialized in Mathematical Statistics and Functional Data Analysis- Focus on AI applications for African contexts

    • Master’s thesis: “Gaussian Processes for Multivariate Functional Data”

    • Available at the AIMS Archive## Research Interests

  • Bachelor’s degree in Mathematics (Bac +6 equivalent)My research focuses on developing AI solutions that address real challenges in Africa, particularly in:

    • University of Kinshasa, Congo’s leading university- Healthcare AI systems for resource-limited settings

    • Graduated as the best student in the department with “Grande Distinction” (Summa Cum Laude equivalent)- Agricultural technology and precision farming

    • Served as teaching assistant and subsidiary lecturer for two years- Educational technology and personalized learning

  • Multilingual NLP for African languages

Research Interests

Mission

My research focuses on several interconnected areas:

I’m passionate about building the future of AI in Africa - creating technology that is inclusive, culturally-aware, and addresses the unique challenges and opportunities across the continent.

Primary Interests

  • Theoretical Aspects of Machine Learning and Deep Learning: Understanding the mathematical foundations that make these systems work## Connect

  • Functional Data Analysis: Mathematical statistics applied to functional data, with a focus on Gaussian processes

  • Large Language Models: Natural language processing and the development of more capable language models- Email: jeremie@aims.ac.za

  • GitHub: github.com/jnlandu

Secondary Interests- LinkedIn: linkedin.com/in/jeremie-nlandu-mabiala-aa3a1b1b

  • Mathematical Modeling: Applying mathematical techniques to solve real-world problems
  • Computer Vision: Visual recognition systems and image analysis
  • Reinforcement Learning: Decision-making algorithms and their applications

Teaching & Mentorship

I am passionate about teaching and knowledge sharing, a trait I inherited from my father and grandfather, who were both teachers. I believe in:

  • Making complex mathematical concepts accessible
  • Bridging the gap between theory and practice
  • Mentoring the next generation of researchers
  • Contributing to the African AI research community

Beyond Research

When I’m not immersed in research, I enjoy:

  • Software Development: Building tools and applications as a hobbyist developer
  • Writing: Working on various writing projects and poetry
  • Knowledge Sharing: Contributing to open-source projects and writing about AI/ML topics

Contact

I’m always interested in discussing research collaborations, speaking opportunities, or just chatting about AI and mathematics. Feel free to reach out!

  • Email:

  • Social Media:

    [Twitter](https://x.com/ValentinMabiala) • 
    
      
    
    [LinkedIn](https://www.linkedin.com/in/jnlandu00a) • 
    
      
    
    [GitHub](https://www.github.com/jnlandu)
    

“The best way to learn is to teach, and the best way to understand is to question everything.”