PhD Candidates
Isabella Rossi
Isabella couples machine learning with molecular simulation to screen porous materials for carbon capture orders of magnitude faster than experiment. Her open-source tooling and startup internship signal readiness for an industrial materials-discovery team.
Details
- Advisor
- Dr. Kim Jelfs
- Field
- Computational Chemistry
- Institution
- Imperial College London
- Skills
- Molecular SimulationPythonMachine LearningHigh-Performance ComputingCheminformaticsMaterials Screening
- Thesis
- Machine learning accelerated discovery of porous materials for gas capture
- Transition Signals
- Internship at materials-AI startupCo-authored with industry scientistsOpen-sourced screening toolkit