What I do
I like to make life easier for chemists by helping answer why and how chemical reactions occur. I apply quantum-mechanical principles to explain chemical processes and predict the structure and properties of materials. I combine this with machine learning to predict synthesis conditions and design materials with targeted properties. Finally, I build scientific software that accelerates discovery and makes advanced methods accessible to experimental chemists.
What problems I help solve
- Predicting synthesis conditions for hard-to-make materials
- Turning unstructured chemical literature into usable data
- Bridging experimental chemistry and AI systems
- Building FAIR and scalable scientific software
- Designing hydrogen storage, CO₂ capture and next generation battery materials
Research Vision
- Deep-tech spinout: structure-to-synthesis prediction for porous materials (MOFs/COFs)
- Self-driving labs. Closed-loop AI that links simulation, synthesis and characterisation
- Interpretable models that explain unexpected reaction outcomes and guide new chemistry
