π PhD Researcher in Machine Learning for Materials Discovery Β· Imperial College London
π‘ Passionate about open, reproducible science and the development of machine-learning models that accelerate materials discovery
My research interests include:
- π§© Generative models for inorganic solids
- βοΈ Geometric graph neural networks
- π Quantitative evaluation of generative models
- π Open and reproducible software for atomistic machine learning
Outside research, I enjoy science communication and collaborative software projects that bring transparency to data-driven materials design
π€ Open to collaborations on generative modelling, dataset curation, and reproducibility in materials informatics


