# Sana Qureshi

> Sana builds imaging models that maintain accuracy and fairness across hospitals with different scanners and populations. Her clinical-validation focus fits a medical-AI company navigating regulatory deployment.

*Source: [https://selltoscientists.com/phd/sana-qureshi/](https://selltoscientists.com/phd/sana-qureshi/)*

**Institution:** University of Toronto
**Field:** Medical Imaging AI
**Advisor:** Dr. Marzyeh Ghassemi
**Thesis:** Robust and fair deep learning for multi-site radiology deployment
**Publications:** 9

## Skills

- PyTorch
- Medical Image Analysis
- Python
- Domain Adaptation
- Clinical Validation
- Statistics

## Industry transition signals

- Internship at a radiology-AI company
- Co-authored with hospital partners
- Presented at MICCAI clinical-translation workshop

---

## 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
