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If you had all of the data in the world at your hands, what question would you ask first?
That's today's big question, and my guest is Dr. Emma Pierson.
Emma is an assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech, and a computer science field member at Cornell University with a secondary joint appointment as an assistant professor of population health sciences at Weill Cornell Medical College. Sure. Why not?
Emma has published a number of game-changing papers, and we talk about those today and how they all tie together. She's written for the New York Times, 538, The Atlantic, Washington Post, Wired, all my favorites, and has been named to the MIT Technology Review 35 Innovators under 35 list, and the Forbes 30 under 30 in Science list.
Her team's work has helped unlock answers and solutions to some of our biggest, most lingering and also sometimes most urgent questions.
Emma and her team work diligently to develop data science and machine learning methods to study two vital, huge interlocking areas: inequality and healthcare.
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Have feedback or questions? Tweet us, or send a message to [email protected]
New here? Get started with our fan favorite episodes at importantnotimportant.com/podcast.
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INI Book Club:
The Alignment Problem: Machine Learning and Human Values by Brian Christian
Find all of our guest recommendations at the INI Book Club: https://bookshop.org/lists/important-not-important-book-club
Links:
Follow Emma on Twitter
Keep up with Emma's work on her website
Follow us:
Subscribe to our newsletter at importantnotimportant.com
Follow us on Twitter: twitter.com/ImportantNotImp
Subscribe to our YouTube channel
Follow Quinn: twitter.com/quinnemmett
Edited by Anthony Luciani
Produced by Willow Beck
Intro/outro by Tim Blane: timblane.com
Find our more about our guests here: https://www.importantnotimportant.com/guest-stats
Advertise with us: https://www.importantnotimportant.com/sponsors
Mentioned in this episode:
Become An Important Member
By Important, Not Important4.7
118118 ratings
If you had all of the data in the world at your hands, what question would you ask first?
That's today's big question, and my guest is Dr. Emma Pierson.
Emma is an assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech, and a computer science field member at Cornell University with a secondary joint appointment as an assistant professor of population health sciences at Weill Cornell Medical College. Sure. Why not?
Emma has published a number of game-changing papers, and we talk about those today and how they all tie together. She's written for the New York Times, 538, The Atlantic, Washington Post, Wired, all my favorites, and has been named to the MIT Technology Review 35 Innovators under 35 list, and the Forbes 30 under 30 in Science list.
Her team's work has helped unlock answers and solutions to some of our biggest, most lingering and also sometimes most urgent questions.
Emma and her team work diligently to develop data science and machine learning methods to study two vital, huge interlocking areas: inequality and healthcare.
-----------
Have feedback or questions? Tweet us, or send a message to [email protected]
New here? Get started with our fan favorite episodes at importantnotimportant.com/podcast.
-----------
INI Book Club:
The Alignment Problem: Machine Learning and Human Values by Brian Christian
Find all of our guest recommendations at the INI Book Club: https://bookshop.org/lists/important-not-important-book-club
Links:
Follow Emma on Twitter
Keep up with Emma's work on her website
Follow us:
Subscribe to our newsletter at importantnotimportant.com
Follow us on Twitter: twitter.com/ImportantNotImp
Subscribe to our YouTube channel
Follow Quinn: twitter.com/quinnemmett
Edited by Anthony Luciani
Produced by Willow Beck
Intro/outro by Tim Blane: timblane.com
Find our more about our guests here: https://www.importantnotimportant.com/guest-stats
Advertise with us: https://www.importantnotimportant.com/sponsors
Mentioned in this episode:
Become An Important Member

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