Know Thyself: Introspective Personal Data Mining | Talithia Williams | WiDS 2020

Talithia Williams, Associate Dean and Associate Professor of Mathematics at Harvey Mudd College delivers at WiDS Stanford University on March 2, 2020:

The leading edge breed of high-tech, wearable health technology is changing how we monitor personal data. We can quantify everything from heart rate and sleep patterns to body temperature and sex life. But, what is the average person to do with the massive amounts of data being collected? This talk makes a compelling case that all of us should be recording simple data about our bodies and will help you begin to analyze and understand your body’s data. Surprisingly, your own data can reveal much more than even your doctors may know!