Secure & scalable research for tomorrow’s biomedical pioneers.

Rapid innovation with novel biomedical data.

Stanford Data Ocean is the first serverless precision medicine education platform for people of all experience levels to explore important questions.

The platform requires zero provisioning or administration so that individuals and organizations can efficiently allocate resources to experiment with code, and scale innovative solutions.

Stanford Data Ocean is the first serverless precision medicine educational platform for people of all experience levels to explore important questions.

The platform requires zero provisioning or administration so that individuals and organizations can efficiently allocate resources to experiment with code, and scale innovative solutions.

Supported by our peers at Stanford

You are provided with all the algorithms and results so that you know exactly which parameters are used, and how everything is done. There are a whole bunch of uses for this data. The limit is your imagination.

Transform research productivity

The time freed from formatting data and configuring code can now be fully devoted to experimentation on code that matters, which generates results in as soon as 5 minutes. A significantly more productive research workflow yields more innovative solutions and faster product launches.

Spend less on computing cost

Determining the right configuration before running the bioinformatics applications can avoid over- or under- matching of resources. Our team is using tools like Hummingbird and Swarm for predicting performance of computing instances with varying memory and CPU on multiple cloud platforms.

Accelerate your research impact

The platform provides a stage to showcase your findings and thinking process. As your creative solutions inspire others on the platform, growing citations, exciting collaborations and valuable connections will follow.

Open to all experience levels

For anyone (eg. students, biometricians, computer scientists) who are willing to put into the work, the learning modules and guidance will become the only materials you need to unlock the necessary skills to explore biomedical questions of your interest.

request an invite

A Stanford researcher will reach out to introduce everything you need to know  in as short as 15 minutes.
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WHAT YOU can DO

  1. Open data and code access

    We provide formatted data and pre-configured code on genomics, transcriptomics, proteomics, microbiome, metabolomics, exposome, and wearables from a wide range of published studies.

  2. Bring your own bucket

    Run our algorithms on your private datasets without compromising privacy and discover new findings.

  3. Self-paced learning modules

    You will learn from top research scientists at Stanford University to master fundamental knowledge about novel data, such as exposome, wearables, metabolomics, microbiomes, and transcriptomics.

  4. Guidance to modify code

    Our intuitive user experience supports you to interact with code with less barriers, even if you have no experience

  5. Share results globally

    Make your work immediately visible to precision medicine enthusiasts and experts across the globe

How we got started

request an invite

A Stanford researcher will reach out to introduce everything you need to know  in as short as 15 minutes.
Get started
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Get Started

Do you have a Fitbit device?

Download the MyPHD app to enroll and start the study now, or enroll here and download the study app later.


Interested to learn when we make progress for your device?

Thank you! Your submission has been received!
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This study involves looking for changes in your wearables data, for example a change in your heart rate, and sending you an alert to ask if any symptoms or other events are going on. This will help us with our goal to develop a system to detect COVID-19 even before any symptoms occur. This system currently works best with Fitbit devices. We are working hard to improve it. 

However, you can still significantly help us accelerate the progress by enrolling in the study with a supported non-Fitbit device. Download the app to enroll now, or enroll here and download the study app later. 


Interested to learn when we make progress for your device?

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Unfortunately, you are currently not eligible for this study. Email us at to be alerted when we launch future studies.

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