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🎓 Teaching

I teach and mentor students and professionals across topics related to energy systems, data science, and clean technology innovation. My teaching style combines rigorous theory with practical applications, case studies, and real-world problem solving.

📚 Courses & Lectures (Past)

Imperial College London

  • AI & Data Science
  • Economics & Finance
  • Computing
  • Reinforcement Learning
  • Design Engineering Practice
  • Design Engineering for Clean Tech Entrepreneurs

Shanghai Jiao Tong University (SJTU)

  • New Energy Systems

University of Lisbon

  • Technical Drawing

🛠️ Design Engineering for Clean Tech Entrepreneurs

✏️ CAD 2D Basics

🏫 Institution: Dyson School of Design Engineering, Imperial College London

🧠 Teaching Philosophy

My teaching focuses on bridging the gap between academic theory and real-world impact. I emphasise:

  • Practical problem-solving and case studies
  • Clear, data-driven decision-making
  • Innovation in clean technology and energy transition
  • Critical thinking and hands-on learning

👩‍🎓 Student Supervision

I mentor students in research projects and professional development, especially in areas related to energy transition, data-driven modelling, and sustainable innovation.

💡 Want to collaborate?

If you are interested in guest lectures, workshops, or academic collaborations, feel free to reach out via LinkedIn or email.