I'm a researcher, developer, and educator specialising in Artificial Intelligence, machine learning, and sustainability in science and education.
As a doctoral researcher in the Jonathan Hirst Group at the University of Nottingham, my PhD focuses on the application of machine learning to sustainable chemistry. I contributed to the development of an AI-powered Electronic Laboratory Notebook (ELN) that integrates natural language processing (NLP) and predictive modelling.
My work bridges AI innovation and digital pedagogy, aiming to make data-driven tools accessible, sustainable, and educational.
I combine expertise in computational chemistry, software development, and machine learning to design intelligent systems that enhance both research workflows and student learning experiences.
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AI4Green4Students
A digital learning toolkit for sustainability and an intelligent Electronic Laboratory Notebook (ELN).
The platform is currently being adopted across institutions, supporting blended learning, digital literacy, and sustainable laboratory practices. -
Forward Prediction API
A machine-learning model for predicting forward reaction outcome.
🔹 Tech stack: Python, PyTorch, Scikit-learn, React, C#, Flask, FastAPI, Pandas, SQL
🔹 Features: AI-driven reaction prediction, data integrity management, and integrated learning analytics
🔹 Role: Product owner and developer — responsible for concept design, stakeholder engagement, programming, and deployment
Programming & Frameworks: Python | C# | JavaScript | React | Flask | FastAPI | SQL
Machine Learning: PyTorch | Scikit-learn | Pandas | NumPy | NLP | Generative AI
Special Interests: Applied AI | Sustainable Innovation | Digital Pedagogy | Educational Technology
- Lecturer and curriculum designer in Applied Science and AI
- Experienced in developing blended learning materials, digital tools, and research-led teaching
- Active contributor to pedagogical research, including publications and conference presentations on AI, sustainability, and digital innovation
⭐️ I’m passionate about developing intelligent tools that empower students, enhance sustainability, and connect artificial intelligence with real-world scientific practice.