Recorded 19 July 2022. Emma Pierson of Cornell University presents "Using data science to shed light on understudied problems in women's health" at IPAM's Who Counts? Sex and Gender Bias in Data workshop. Abstract: The increasing availability of large electronic health record and mobile health datasets facilitates analysis of historically understudied women's health conditions. Here we present two case studies, focusing on menstrual cycles and intimate partner violence. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/who-counts-sex-and-gender-bias-in-data/