I am affiliated with the UCL Centre for Artificial Intelligence, where I contribute to the X5GON and HumaneAI projects in collaboration with Emine Yilmaz and John Shawe-Taylor. My research focuses on improving recommendations of educational content for lifelong learners.

I worked in research roles in the cybersecurity and personalized advertising industries, where I gained extensive experience in user state modelling and Big data landscape.



🎓 Academic

PhD, Computer Science

• University College London (2022)
  Specialization in Artificial Intelligence and Education, focusing on intelligent recommendation systems for lifelong learners.
  
  
  MSc, Computational Statistics & Machine Learning

• University College London (2014)

  
  

• PGDip, Applied Statistics
  University of Peradeniya (2012)

  
  

• BSc (Hons), Computing
  University of Portsmouth (2010)

  
  

🌟 Career Highlights



• 🌍 Board Trustee – Caribbean Hub AI Tech (CHAITECH)
  Leading curriculum design and AI training initiatives, contributing to the development of AI capacity and education across the Caribbean region.
• 📡 Research Assistant – X5GON Project, UCL
  Conducted research on open educational resource recommendation systems, helping to design intelligent platforms that personalize learning experiences globally.
• 🎓 Principal Teaching Fellow – CambridgeSpark Ltd.
  Designed and delivered advanced Machine Learning and Data Science courses for industry professionals, bridging academic expertise with real-world applications.
• 💻 Data Science Engineer – Skimlinks
  Built and optimized large-scale machine learning and data-driven systems, applying user state modelling to enhance personalized advertising and data analytics.
  
  

🏆 Awards



👉 Google Scholar

🔬 Research

My research focuses on advancing AI-enabled systems to support lifelong learning, with a strong emphasis on human–AI collaboration, personalization, and responsible use of technology in education. I am also affiliated with the UNESCO Chair on Artificial Intelligence, contributing to global efforts in shaping ethical and inclusive AI practices.

• TAICo – Developing trustworthy and adaptive AI systems that can enhance teaching and learning experiences while ensuring fairness and transparency.

• X5GON – Building an open educational resource recommendation platform that adapts to the needs of learners worldwide, supporting inclusive and equitable access to knowledge.

• HumaneAI – Contributing to a human-centered approach to AI, ensuring that future AI systems are ethical, sustainable, and aligned with human values.

Research Themes

• AI in Education – Designing systems that make learning more adaptive, inclusive, and effective.

• Human–AI Teaming – Exploring collaboration models where AI complements human decision-making and creativity.

• Recommendation Systems – Developing algorithms that personalize educational content delivery to individual learners.

• Bayesian Statistics – Applying probabilistic models to improve learning analytics and decision support in complex data environments.

  
  

  💡 Research Interests

  
  

  My academic and professional interests center on advancing the role of Artificial Intelligence in shaping the future of education and human collaboration. I am particularly passionate about:

  • AI in Education – Developing intelligent systems that personalize and enhance lifelong learning.

  • Human–AI Teaming – Exploring how AI can complement and support human decision-making and creativity.

  • Recommendation Systems – Designing adaptive algorithms to deliver relevant and impactful educational content.

  • Bayesian Statistics – Applying probabilistic models to improve learning analytics and decision support.

  • Artificial Intelligence (General) – Driving innovation in AI to create sustainable, ethical, and human-centered solutions.

    
    

    👉🧾 My Publications

    
    

    🌐 Interests

    I am deeply interested in advancing the role of Artificial Intelligence to create meaningful, human-centered impact. My focus areas include:

    • AI in Education – Building intelligent systems that support lifelong learning and personalized education.

    • Human–AI Teaming – Designing collaboration frameworks where humans and AI complement each other’s strengths.

    • Recommendation Systems – Developing adaptive models to deliver relevant and impactful content.

    • Bayesian Statistics – Leveraging probabilistic approaches to model uncertainty and improve decision-making.

    • Artificial Intelligence (General) – Exploring innovative, ethical, and sustainable applications of AI across disciplines.