
Sign up to save your podcasts
Or


Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University.
In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational layer of understanding for the vast known unknowns in species and biodiversity, and how he came to apply machine learning to his lab’s research.
We explore a few of his lab’s projects, including applying ML to genetic data to understand the geographic and environmental structure of DNA, what factors keep machine learning from being used more frequently used in biology, and what’s next for his group.
The complete show notes for this episode can be found at twimlai.com/go/449.
By Sam Charrington4.7
419419 ratings
Today we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University.
In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational layer of understanding for the vast known unknowns in species and biodiversity, and how he came to apply machine learning to his lab’s research.
We explore a few of his lab’s projects, including applying ML to genetic data to understand the geographic and environmental structure of DNA, what factors keep machine learning from being used more frequently used in biology, and what’s next for his group.
The complete show notes for this episode can be found at twimlai.com/go/449.

480 Listeners

1,089 Listeners

170 Listeners

303 Listeners

334 Listeners

208 Listeners

201 Listeners

95 Listeners

512 Listeners

130 Listeners

227 Listeners

608 Listeners

25 Listeners

35 Listeners

40 Listeners