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In this episode of the Data Exchange I bring back Bruno Gonçalves, a data scientist working at the intersection of Data Science and Finance. Bruno was a guest on this podcast in April, when the COVID-19 cases were spiking in his home base in NYC. Prior to shifting over to data science, he spent several years as a researcher focused on mathematical models in Epidemiology – a field with a rich history dating as far back as the 1920s. I wanted to bring him back to get an update on the mathematical models being used to model the global pandemic.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.
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Subscribe: iTunes, Android, Spotify, Stitcher, Google, and RSS.
In this episode of the Data Exchange I bring back Bruno Gonçalves, a data scientist working at the intersection of Data Science and Finance. Bruno was a guest on this podcast in April, when the COVID-19 cases were spiking in his home base in NYC. Prior to shifting over to data science, he spent several years as a researcher focused on mathematical models in Epidemiology – a field with a rich history dating as far back as the 1920s. I wanted to bring him back to get an update on the mathematical models being used to model the global pandemic.
Detailed show notes can be found on The Data Exchange web site.
Subscribe to The Gradient Flow Newsletter.
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