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S4E8: Jann Spiess, Machine Learning and Causal Inference, Stanford

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Manage episode 453457161 series 3343922
Kandungan disediakan oleh scott cunningham and Scott cunningham. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh scott cunningham and Scott cunningham atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Welcome to the latest episode of The Mixtape with Scott! This week’s guest on the podcast is Jann Spiess. Many of you probably know Jann from his work with Kirill Borusyak and Xavier Jaravel on diff-in-diff. Others may know him for his work on machine learning. Now you get to know him for a third reason which is contained on this podcast!

Jann is an assistant professor at Stanford. He’s one of a younger cohort of talented econometricians who have been making practically helpful contributions to the toolkit in causal inference and machine learning, including work on synthetic control with Guido Imbens and much more. This was a great interview and I learned a lot about Jann I didn’t know about. And I hope you enjoy it it too!

Thanks again for all your support! Share this video or podcast with whoever you think would like it!

Scott's Mixtape Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Get full access to Scott's Mixtape Substack at causalinf.substack.com/subscribe

  continue reading

124 episod

Artwork
iconKongsi
 
Manage episode 453457161 series 3343922
Kandungan disediakan oleh scott cunningham and Scott cunningham. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh scott cunningham and Scott cunningham atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

Welcome to the latest episode of The Mixtape with Scott! This week’s guest on the podcast is Jann Spiess. Many of you probably know Jann from his work with Kirill Borusyak and Xavier Jaravel on diff-in-diff. Others may know him for his work on machine learning. Now you get to know him for a third reason which is contained on this podcast!

Jann is an assistant professor at Stanford. He’s one of a younger cohort of talented econometricians who have been making practically helpful contributions to the toolkit in causal inference and machine learning, including work on synthetic control with Guido Imbens and much more. This was a great interview and I learned a lot about Jann I didn’t know about. And I hope you enjoy it it too!

Thanks again for all your support! Share this video or podcast with whoever you think would like it!

Scott's Mixtape Substack is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Get full access to Scott's Mixtape Substack at causalinf.substack.com/subscribe

  continue reading

124 episod

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