# Samuel Owusu

> Samuel builds ML emulators that make climate simulations faster without sacrificing physical fidelity. His HPC and modeling skills fit a climate-risk analytics company serving insurers and asset managers.

*Source: [https://selltoscientists.com/phd/samuel-owusu/](https://selltoscientists.com/phd/samuel-owusu/)*

**Institution:** Massachusetts Institute of Technology
**Field:** Climate Modeling
**Advisor:** Dr. Raffaele Ferrari
**Thesis:** Machine-learning parameterizations for ocean turbulence in climate models
**Publications:** 8

## Skills

- Python
- Julia
- Machine Learning
- Fluid Dynamics
- High-Performance Computing
- Data Assimilation

## Industry transition signals

- Internship at a climate-analytics startup
- Co-authored with reinsurance data scientists
- Maintains an open-source climate-emulator library

---

## 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
