Artwork

Kandungan disediakan oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li 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.
Player FM - Aplikasi Podcast
Pergi ke luar talian dengan aplikasi Player FM !

2. Analyzing Menstrual Cycle Data and Math Transcending Boundaries with Emma Pierson

44:10
 
Kongsi
 

Manage episode 313667716 series 3280396
Kandungan disediakan oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li 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.

We talk with Emma Pierson, PhD in Computer Science from Stanford and incoming assistant professor of Computer Science at Cornell Tech, about her paper "Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs" published in Nature Human Behavior, 2021. This was joint work with fellow computer scientists (Tim Althoff and Jure Leskovec), head of data science at a partner company (Daniel Thomas), and professor of obstetrics and gynecology (Paula Hillard).

Emma shared with us strategies for normalizing research on women's health and the menstrual cycle and creating trust with industry partners. She emphasized that math is a universal language that can transcend the boundaries of individuals' personal experiences.

Paper link: https://www.nature.com/articles/s41562-020-01046-9

  continue reading

20 episod

Artwork
iconKongsi
 
Manage episode 313667716 series 3280396
Kandungan disediakan oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li 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.

We talk with Emma Pierson, PhD in Computer Science from Stanford and incoming assistant professor of Computer Science at Cornell Tech, about her paper "Daily, weekly, seasonal and menstrual cycles in women’s mood, behaviour and vital signs" published in Nature Human Behavior, 2021. This was joint work with fellow computer scientists (Tim Althoff and Jure Leskovec), head of data science at a partner company (Daniel Thomas), and professor of obstetrics and gynecology (Paula Hillard).

Emma shared with us strategies for normalizing research on women's health and the menstrual cycle and creating trust with industry partners. She emphasized that math is a universal language that can transcend the boundaries of individuals' personal experiences.

Paper link: https://www.nature.com/articles/s41562-020-01046-9

  continue reading

20 episod

すべてのエピソード

×
 
Loading …

Selamat datang ke Player FM

Player FM mengimbas laman-laman web bagi podcast berkualiti tinggi untuk anda nikmati sekarang. Ia merupakan aplikasi podcast terbaik dan berfungsi untuk Android, iPhone, dan web. Daftar untuk melaraskan langganan merentasi peranti.

 

Panduan Rujukan Pantas

Podcast Teratas