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

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Manage episode 313667716 series 3280396
Content provided by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 episodes

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Manage episode 313667716 series 3280396
Content provided by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Katherine A. Keith, Naitian Zhou, & Lucy Li, Katherine A. Keith, Naitian Zhou, and Amp; Lucy Li or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 episodes

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