dats'n'stats

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

June 28, 2020 Thomas Wiecki Season 1 Episode 5
dats'n'stats
Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3
Chapters
00:01:39
After Instagram, wealth & happiness
00:10:08
Meditation
00:15:47
rt.live & Bayesian statistics
dats'n'stats
Kevin Systrom - After Instagram: Bayesian modeling of COVID-19 with PyMC3
Jun 28, 2020 Season 1 Episode 5
Thomas Wiecki

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.

Show Notes Chapter Markers

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)

After Instagram, wealth & happiness
Meditation
rt.live & Bayesian statistics