Hello, I'mJérémie N. Mabiala
AI/ML enthusiast, Mathematician.
From Pure Math background to Artificial Intelligence, I'm currently a resident tutor in Artificial Intelligence at the African Masters in Machine Intelligence (AMMI) program.
Who I Am
AI researcher and mathematician passionate about the intersection of theoretical mathematics and practical AI applications.
Jérémie N. Mabiala
AI Researcher & Mathematical Scientist
Welcome! I am Jérémie N. Mabiala. If you're from an English-speaking culture, you can call me Jeremy. I am currently a resident tutor in Artificial Intelligence at the African Masters in Machine Intelligence (AMMI), a pan-African flagship master's program in Artificial Intelligence founded by Google and Meta, hosted at the African Institute for Mathematical Sciences,(AIMS) Senegal. I am an AI enthusiast and math lover.
Before that, I graduated from Stellenbosch University and AIMS South Africa in February 2024 with a Master's degree in Mathematical Sciences. I worked on Mathematical Statistics, specifically Functional Data Analysis. My master's thesis is titled Gaussian Processes for Multivariate Functional Data, and it is available at the AIMS Archive.
I also hold a Bachelor's degree (equivalent to Bac +5) in Mathematics from the University of Kinshasa, the Congo's leading university. There I graduated in the top 5% in my department with "Grande Distinction" (the Congolese equivalent of Summa Cum Laude). During my time there, I worked on Functional Analysis, which was my early math interest, and I served as a teaching assistant and subsidiary lecturer for two years.
I am passionate about teaching, gaining knowledge, and sharing it with others. I am particularly interested in Mathematics, Theoretical Aspects of Machine Learning and/or Deep Learning and their applications. My interests also extend to Mathematical Modeling, Functional Data Analysis, Large Language Models, and Reinforcement Learning.
I am a hobbyist developer and an apprentice writer.
Research Interests
Theoretical Machine Learning
Mathematical foundations of machine learning algorithms and their theoretical guarantees
Deep Learning
Neural network architectures, optimization methods, and generalization properties
Functional Data Analysis
Statistical methods for analyzing and modeling functional data
Explainable AI
Methods for making AI systems more transparent and interpretable
Languages
I am currently updating this website. Please, feel free to reach out to firstname(in french) at aims.ac.za or firstname (in english) at aimsammi.org for any inquiries.
Current Projects
Exploring the frontiers of AI research through innovative projects and collaborations
Key Objectives:
- Evaluate performance in optimizing electric vehicle routes
- Analyze how well each model explains its decisions
- Provide a transparent decision-making process
- Compare various DRL architectures with GNN integration
Collaborators:
Researchers from Tunisia, Senegal, and DR Congo
My master's thesis focused on developing novel statistical methods for analyzing multivariate functional data using Gaussian processes. This research contributes to the field of Functional Data Analysis with applications in various domains.
Methodologies:
- Gaussian Process Regression
- Functional Principal Component Analysis
- Multivariate Statistical Analysis
- Bayesian Inference
Applications:
- Environmental Data Analysis
- Biomedical Signal Processing
- Economic Time Series
- Climate Data Modeling
Blog & Tutorials
Educational content, tutorials, and insights on mathematics, AI, and data science
Featured Tutorials
A comprehensive tutorial on understanding Gaussian Processes with interactive visualizations and practical examples.
A step-by-step video tutorial series on implementing Deep Reinforcement Learning algorithms from scratch.
A comprehensive tutorial on understanding Gaussian Processes with interactive visualizations and practical examples.
A step-by-step video tutorial series on implementing Deep Reinforcement Learning algorithms from scratch.
Learn the fundamentals of Functional Data Analysis and how to implement key techniques using R.
A comprehensive video guide on using PyTorch for implementing mathematical models in research.
Explore various techniques for making AI models more interpretable and transparent.
A visual explanation of Graph Neural Networks with code examples and applications.
A deep dive into the essential mathematical concepts behind modern machine learning algorithms.
Learn how to apply Bayesian methods to machine learning problems with practical examples.
Learn how to analyze and model time series data using Python and its libraries.
A step-by-step video series on implementing NLP models using transformer architectures.
Contact Me
Feel free to reach out for collaborations, research opportunities, or just to say hello
firstname(in french) at aims.ac.za
firstname(in english) at aimsammi.org
I typically respond within 24-48 hours
Location
AIMS Senegal
KM 2, Route de Joal
Mbour, Senegal
Currently based in Senegal for my studies
Social Media
Connect with me on LinkedIn, Twitter, and GitHub for updates on my research and projects.
I'm most active on LinkedIn for professional networking
Send Me a Message
I am currently updating this website. Please, feel free to reach out to firstname(in french) at aims.ac.za or firstname (in english) at aimsammi.org for any inquiries.