# 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.

*Source: [https://selltoscientists.com/phd/isabella-rossi/](https://selltoscientists.com/phd/isabella-rossi/)*

**Institution:** Imperial College London
**Field:** Computational Chemistry
**Advisor:** Dr. Kim Jelfs
**Thesis:** Machine learning accelerated discovery of porous materials for gas capture
**Publications:** 11

## Skills

- Molecular Simulation
- Python
- Machine Learning
- High-Performance Computing
- Cheminformatics
- Materials Screening

## Industry transition signals

- Internship at materials-AI startup
- Co-authored with industry scientists
- Open-sourced screening toolkit

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## Beton network

This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources:

- [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals
- [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties
- [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries
- [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector))
- [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns
- [Beton app](https://inspector.getbeton.ai) — the hosted product
