The Orthogonal Bet: Using Computational Biology to Understand How the Brain Works

Welcome to the ongoing mini-series The Orthogonal Bet. Hosted by ⁠Samuel Arbesman⁠, a Complexity Scientist, Author, and Scientist in Residence at Lux Capital.

In this episode, Sam speaks with Amy Kuceyeski, a mathematician and biologist who is a professor at Cornell University in computational biology, statistics, and data science, as well as in radiology at Weill Cornell Medical College. Amy studies the workings of the human brain, the nature of neurological diseases, and the use of machine learning and neuroimaging to better understand these topics.

Sam wanted to talk to Amy because she has been using sophisticated AI techniques for years to understand the brain. She is full of innovative ideas and experiments about how to explore how we process the world, including building AI models that mimic brain processes. These models have deep connections and implications for non-invasively stimulating the brain to treat neurodegenerative diseases or neurological injuries.

Produced by ⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠

Music by ⁠⁠⁠⁠⁠George Ko⁠⁠⁠⁠⁠ & Suno