Discoverdats'n'statsKevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3
Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3

Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3

Update: 2020-06-28
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Description

Kevin Systrom is the co-founder and former CEO of Instagram. In this episode we talk about his time after leaving the company, whether becoming a billionaire made him happier, how to decide what to work on, the Japanese concept of Ikigai, or a reason for being, and meditation.

We then dive into his current project -- rt.live -- a website which tracks the spread characteristics of COVID-19. The statistical model underlying the website is Bayesian and built using PyMC3. Kevin shares why he chose that approach and how he got started on PyMC3.

Show notes

Special thanks to all my patrons, specifically Jonathan Ng, Richard Craib, Daniel Gerlanc, and Ayan Doss.

Support the show (https://www.patreon.com/twiecki)

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Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3

Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3

Thomas Wiecki