Ridwan Amure — Computational Social Science & Machine Learning
About Me
I am a PhD candidate in Computer Science with a research focus on machine learning, computational social science, and graph-based modeling of online behavior. My work sits at the intersection of network science, natural language processing, and AI systems, with an emphasis on understanding how narratives, influence, and coordination emerge and evolve across digital platforms.
My research investigates cross-platform narrative diffusion, coordinated behavior, and socio-technical dynamics using tools such as subgraph mining, temporal networks, knowledge graphs, and probabilistic modeling. I am particularly interested in moving beyond node-level analysis to study collective structures—groups, motifs, and interaction patterns that drive real-world outcomes.
Research Interests
- Computational Social Science
- Graph & Subgraph Mining
- Cross-Platform Narrative Diffusion
- Network Science & Temporal Graphs
- Machine Learning & Representation Learning
- Natural Language Processing
- Knowledge Graphs and Behavioral Modeling
Professional Background
Alongside academic research, I have industry experience building production-grade machine learning systems. I have worked on:
- Ranking and retrieval models in large-scale systems
- NLP pipelines for information extraction and risk modeling
- Computer vision systems deployed in real-world environments
- End-to-end ML pipelines from data ingestion to deployment
I have held research and engineering roles in academia and industry, including internships and senior engineering positions, where I focused on translating theory into deployable systems.
About This Website
This website serves as a research and writing hub where I share:
- Research ideas, methods, and technical notes
- Articles on graph mining, network analysis, and ML systems
- Open-source tools and libraries
- Talks, workshops, and invited lectures
The goal is to make complex ideas accessible, connect theory with practice, and document ongoing work in a transparent and reproducible way.
Open Source & Writing
I actively develop and maintain open-source tools related to graph mining and network analysis, and I write regularly about the intuition behind algorithms that are often perceived as purely theoretical.
If you are interested in graphs, machine learning, or understanding complex digital systems, you are in the right place.
Get in Touch
- LinkedIn: https://linkedin.com/in/ridwan-amure
I am always open to collaborations, discussions, and feedback—especially at the intersection of AI, society, and networked systems.