FAQ

What’s the Huberman Lab Podcast?

The Huberman Lab Podcast was started in January 2021 by Dr. Andrew Huberman, a professor of neurobiology and ophthalmology at Stanford School of Medicine. The podcast discusses neuroscience: how our brain and its connections with the organs of our body controls our perceptions, our behaviors, and our health. It’s separate from Dr. Huberman’s teaching and research roles at Stanford.

Who is Dr. Andrew Huberman?

Dr. Andrew Huberman is a tenured Professor of Neurobiology and Ophthalmology at Stanford School of Medicine. His laboratory studies neural regeneration and neuroplasticity, and brain states such as stress, focus, fear, and optimal performance.

Does Dr. Huberman have a newsletter?

Yes. The official newsletter of the Huberman Lab is the Neural Network.

How can I learn more about Dr. Huberman’s research?

Please visit Dr. Huberman’s Stanford lab website.

How can I support Dr. Huberman’s scientific research at Stanford?

To learn more about how you can support Dr. Huberman’s research at Stanford School of Medicine, please visit his Stanford lab website.

How can I work for the Huberman Lab?

We appreciate your interest. We are not currently hiring for any roles at the Huberman Lab Podcast. If you’re interested in exploring opportunities at Stanford, please review these frequently asked questions.

Do you have merch?

Not yet…

How can I support the podcast?

We appreciate you asking. Your support allows us to continue our efforts to bring you new episodes each week about science and science-related tools.

The best way to support the podcast is by visiting our sponsors (located in the description of each podcast episode). You can also support the podcast on Patreon.

Where can I listen to the podcast?

The podcast is available on all major podcast platforms including Apple Podcasts, Spotify, Google Podcasts, Stitcher and more.

Is your content available in multiple languages?

Yes. We are currently captioning all YouTube videos in English. Please note that to achieve near perfect accuracy, we are not accepting captions from our audience.