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Episode 13 - Daniel Zuckerman: Trajectory ensembles, writing books, and learning biology through physics

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Indhold leveret af Miłosz Wieczór. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Miłosz Wieczór eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

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In the thirteenth episode, Daniel Zuckerman and I talk about textbooks on statistical biophysics and a physics-based vision of biology, a few of which he himself authored. Daniel reveals that his passion for clarity in writing comes from his early humanities background, and makes a case for how well-thought and physically motivated narratives can unlock profound insights into the inner workings of biology. Then, we move on to discuss the physical theory behind trajectory ensembles, Daniel's preferred lens through which to view statistical mechanics. We dissect the strengths and limitations of this approach, and let ourselves speculate about its future evolution.

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23 episoder

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Manage episode 424267249 series 3555369
Indhold leveret af Miłosz Wieczór. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Miłosz Wieczór eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Send us a text

In the thirteenth episode, Daniel Zuckerman and I talk about textbooks on statistical biophysics and a physics-based vision of biology, a few of which he himself authored. Daniel reveals that his passion for clarity in writing comes from his early humanities background, and makes a case for how well-thought and physically motivated narratives can unlock profound insights into the inner workings of biology. Then, we move on to discuss the physical theory behind trajectory ensembles, Daniel's preferred lens through which to view statistical mechanics. We dissect the strengths and limitations of this approach, and let ourselves speculate about its future evolution.

  continue reading

23 episoder

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