Solving the brain with machine learning, Konrad Kording - The Data Scientist Show #008 @thedatascientistshow
Solving the brain with machine learning, Konrad Kording - The Data Scientist Show #008  @thedatascientistshow
Uploaded October 2021 | Updated September 2026, 2 weeks ago
Konrad Kording is a neuroscientist and professor at the University of Pennsylvania. Konrad is trying to understand how the world and the brain works using data. He is known for his research in computational neuroscience. We talked about:

- Is evolution gradient descent?

- What makes a data scientist competitive?

- His three principles of doing good science

- Why do we need casual inference in AI?

- Should we optimize our brain's 'loss function' to make us happier?

- The secret to a good career

- Three rules he follows for doing good science

- Is deep learning a bubble?

- How did he get to where he's at today

This episode is also available on Apple, Spotify, and other podcast platforms. If you like the show subscribe to the channel and give us a 5-star review. Subscribe to Daliana's newsletter on dalianaliu.com for more on data science.

Daliana's LinkedIn: linkedin.com/in/dalianaliu
Daliana's Twitter: twitter.com/DalianaLiu
Konrad's twitter:twitter.com/KordingLab
The online community of computational neuroscientists he's working on: neuromatch.io
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Solving the brain with machine learning, Konrad Kording - The Data Scientist Show #008

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