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cover of episode 367: Building Data Pipelines for COVID-19 Modeling

367: Building Data Pipelines for COVID-19 Modeling

2020/5/20
logo of podcast Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

Frequently requested episodes will be transcribed first

Shownotes Transcript

Samuel Hinton joins us again for an important and timely discussion on data pipelines and the work he’s doing to aid research on COVID-19 with the COVID-19 Critical Care Consortium. We also talk about his new online courses and his continued research into dark matter.

In this episode you will learn:

  • Sam’s current work and COVID-19 Critical Care Consortium [4:22]

  • The COVID data science pipeline and workflow [12:50]

  • Sam’s second online course [36:22]

  • Bayesian inference [43:06]

  • Sam at DSGO Virtual [53:30]

  • Sam’s work on dark matter [1:01:25]

  • What is Sam reading right now? [1:09:14]

Additional materials: www.superdatascience.com/367)