# John Dean

> John Dean is the Cofounder and CEO of WindBorne Systems, a Redwood City, California-based company operating the world's largest constellation of autonomous long-duration weather balloons. A Stanford electrical engineering graduate and former intern at SpaceX, NASA, and Lyft, Dean co-founded WindBorne in 2019 out of Stanford's Student Space Initiative after breaking four world records as undergraduates. The company raised a $15 million Series A led by Khosla Ventures in 2024, and its WeatherMesh AI model surpassed Google DeepMind's GraphCast as the most accurate global weather forecasting model, running on a fraction of the compute power. WindBorne's balloons have flown into Hurricane Milton and have set a new benchmark for how atmospheric data is collected at scale.

- **Role:** Cofounder & CEO at WindBorne Systems
- **Organizations:** WindBorne Systems, Stanford Student Space Initiative
- **Nationality:** American
- **Education:** Bachelor of Science, Electrical Engineering, Stanford University
- **Known for:** Co-founded WindBorne Systems, now operating the world's largest constellation of autonomous long-duration weather balloons, Led development of WeatherMesh, the AI forecast model that surpassed Google DeepMind's GraphCast and Huawei's Pangu-Weather in accuracy, WeatherMesh runs on approximately 1/15th the computing power of GraphCast - operable on a gaming laptop

## Career timeline

- **2015** — Enrolled at Stanford University, studying Electrical Engineering
- **2016-2018** — Served as Co-President of Stanford Student Space Initiative (SSI)
- **2017** — Engineering Intern at NASA
- **2018** — Hardware Development Intern at SpaceX
- **2018** — Autonomous Driving Intern at Lyft
- **2019** — Graduated from Stanford; co-founded WindBorne Systems in February 2019
- **2019** — WindBorne received pre-seed investment from Khosla Ventures
- **2019** — Completed 26 test flights and broke 4 world records as students before company launch
- **2023** — WindBorne raised $6M seed round from Footwork VC, Khosla Ventures, and Pear VC
- **2024-02** — Launched WeatherMesh AI model, surpassing Google DeepMind's GraphCast as most accurate global weather forecast model
- **2024-06** — WindBorne raised $15M Series A led by Khosla Ventures
- **2024-10** — Successfully deployed first-ever balloon-launched dropsondes directly into Hurricane Milton
- **2025** — WindBorne balloon involved in United Airlines Flight 1093 incident; Dean immediately reported to NTSB and FAA

## Achievements

- Co-founded WindBorne Systems, now operating the world's largest constellation of autonomous long-duration weather balloons
- Led development of WeatherMesh, the AI forecast model that surpassed Google DeepMind's GraphCast and Huawei's Pangu-Weather in accuracy
- WeatherMesh runs on approximately 1/15th the computing power of GraphCast - operable on a gaming laptop
- Executed first-ever deployment of balloon-launched dropsondes into a hurricane (Hurricane Milton, October 2024)
- WindBorne's Hurricane Milton forecast was more accurate than the U.S. National Hurricane Center
- Broke 4 world records in atmospheric data as Stanford students before founding the company
- Completed 1,000+ balloon flight missions since founding
- Raised over $21M in venture funding including from Khosla Ventures, Footwork, and Pear VC
- Built balloon tech capable of flights lasting up to 16 days vs. hours for traditional radiosondes
- Contributor to IEEE Spectrum on AI weather forecasting

## Latest updates

- **2025-01** — WindBorne balloon likely involved in United Airlines Flight 1093 incident; Dean immediately reported to NTSB and FAA and called the situation 'extremely concerning and unacceptable'
- **2024-10** — Successfully deployed first-ever balloon-launched dropsondes into Hurricane Milton; WindBorne's forecast outperformed the National Hurricane Center
- **2024-06** — WindBorne raised $15M Series A led by Khosla Ventures to scale balloon constellation and AI forecasting
- **2024-02** — Launched WeatherMesh AI model, surpassing Google DeepMind's GraphCast as the world's most accurate global weather forecast model; also beat Huawei's Pangu-Weather

## Links

- Website: https://windbornesystems.com
- LinkedIn: http://www.linkedin.com/in/johnldean
- Twitter/X: https://x.com/johndeanl

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Profile page: https://yespress.io/john-dean
Published by YesPress — https://yespress.io
Last updated: 2026-05-12