# Layla Haddad

> Layla builds ML-accelerated reaction networks that prioritize promising catalysts before expensive lab synthesis. Her cheminformatics pipeline expertise fits a company building computational chemistry platforms for R&D teams.

*Source: [https://selltoscientists.com/phd/layla-haddad/](https://selltoscientists.com/phd/layla-haddad/)*

**Institution:** American University of Beirut
**Field:** Computational Chemistry
**Advisor:** Dr. Mazen Al-Ghoul
**Thesis:** Machine-learned reaction networks for catalyst screening
**Publications:** 7

## Skills

- DFT
- Python
- Machine Learning
- Reaction Kinetics
- High-Throughput Screening
- Cheminformatics

## Industry transition signals

- Internship at a computational-chemistry software firm
- Co-authored with industry catalysis group
- Open-sourced a reaction-prediction model

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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
