# Adam Yala

> Adam Yala is a UC Berkeley and UCSF assistant professor of Computational Precision Health turned founder, now CEO of Voio, a Berkeley AI startup building frontier radiology models. At MIT he created Mirai and Sybil, open-source AI tools that flag breast and lung cancer risk years early and are now studied at more than 90 hospitals across 30 countries. In late 2025 Voio emerged from stealth with $8.6M in seed funding and Pillar-0, billed as the most accurate open AI model for radiology, with a mission to make being a radiologist more empowering rather than to replace the profession.

- **Role:** Co-founder and CEO at Voio
- **Organizations:** Voio, UC Berkeley, UCSF, MIT Jameel Clinic (former), MIT CSAIL (former)
- **Nationality:** American
- **Education:** BS in Computer Science, Massachusetts Institute of Technology (MIT), MEng in Computer Science, Massachusetts Institute of Technology (MIT), PhD in Computer Science, Massachusetts Institute of Technology (MIT)
- **Known for:** Created Mirai, an open-source AI model that identifies people at high risk for breast cancer years before radiologists can, Designed Sybil, an open-source model that predicts lung cancer risk from CT scans, Mirai and Sybil studied/used at more than 90 hospitals across 30 countries

## Career timeline

- **2016** — Won Best Paper Award at EMNLP; received NSF and MIT EECS Fellowships
- **2019** — Mammography research papers ranked among Radiology's top 10 by downloads and Altmetric
- **2021** — Developed Mirai, an open-source mammography deep learning model predicting breast cancer risk years in advance
- **2022** — Falling Walls Finalist in Life Science; work tied to an Eppy Award for Investigative Reporting
- **2023** — Joined UC Berkeley and UCSF as Assistant Professor of Computational Precision Health, Statistics and EECS
- **2025** — Co-founded Voio with Maggie Chung and Trevor Darrell; emerged from stealth in November with $8.6M seed funding and Pillar-0
- **2026** — Voio advancing Pillar-1, a model detecting risk across wider image arrays and drafting radiology reports

## Achievements

- Created Mirai, an open-source AI model that identifies people at high risk for breast cancer years before radiologists can
- Designed Sybil, an open-source model that predicts lung cancer risk from CT scans
- Mirai and Sybil studied/used at more than 90 hospitals across 30 countries
- Co-founded Voio, which released Pillar-0, described as the world's most accurate open AI model for radiology
- Raised $8.6M seed for Voio from Laude Ventures and The House Fund
- Best Paper Award, EMNLP (2016)
- NSF Fellowship and MIT EECS Fellowship (2016)
- Falling Walls Finalist in Life Science (2022)
- Research featured in The New York Times, Washington Post, Boston Globe and Wired

## Latest updates

- **2025-11** — Voio emerged from stealth with $8.6M seed funding from Laude Ventures and The House Fund and released Pillar-0, billed as the most accurate open AI model for radiology.
- **2026-04** — Profiled by UC Berkeley and Berkeley News for using AI to revolutionize medical imaging; Voio advancing Pillar-1, which drafts radiology reports.

## Links

- Website: https://www.adamyala.org/
- LinkedIn: https://www.linkedin.com/in/adamyala1
- Twitter/X: https://x.com/yalatweets
- GitHub: https://github.com/yala

---

Profile page: https://yespress.io/adam-yala
Published by YesPress — https://yespress.io
Last updated: 2026-06-25