# Priyanka Reddy

> Priyanka trains ML potentials that predict alloy properties orders of magnitude faster than first-principles methods. Her materials-informatics pipeline expertise fits a company building data-driven materials-discovery platforms.

*Source: [https://selltoscientists.com/phd/priyanka-reddy/](https://selltoscientists.com/phd/priyanka-reddy/)*

**Institution:** University of Illinois Urbana-Champaign
**Field:** Materials Informatics
**Advisor:** Dr. Elif Ertekin
**Thesis:** Machine-learning interatomic potentials for accelerated alloy discovery
**Publications:** 8

## Skills

- Python
- DFT
- Machine Learning
- High-Throughput Computing
- Materials Databases
- Bayesian Optimization

## Industry transition signals

- Internship at Citrine Informatics
- Co-authored with industry materials scientists
- Open-sourced a potential-fitting 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:

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- [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