Presented By: U-M Industrial & Operations Engineering
IOE 836 Seminar Series: Olivia Walch, PhD
Your Clock on your Phone: Circadian Rhythms Modeling for the Shift Work Population
Olivia Walch, PhD
"Your Clock on your Phone: Circadian Rhythms Modeling for the Shift Work Population"
Bio: Olivia Walch is a post-doctoral research fellow at the University of Michigan. She completed her PhD work on the mathematics of sleep and circadian rhythms in 2016. Her work lies at the intersection of mathematics, biology, and mobile technology. She has extensive experience in software development, and her apps have been downloaded close to half a million times.
Abstract: The body's internal, circadian clock tracks time primarily by tracking light exposure. Short-term disruption of the circadian clock causes jet lag, while long-term disruption-- such as that experienced by shift workers-- is associated with an increased risk of obesity, depression, diabetes, and cancer. Using mathematical modeling, we can predict a person's internal time and use that prediction to make suggestions for how they can correct a disrupted clock. In this talk, I'll introduce mathematical models of the circadian clock and discuss how they can be deployed on mobile devices to help shift workers recover faster.
"Your Clock on your Phone: Circadian Rhythms Modeling for the Shift Work Population"
Bio: Olivia Walch is a post-doctoral research fellow at the University of Michigan. She completed her PhD work on the mathematics of sleep and circadian rhythms in 2016. Her work lies at the intersection of mathematics, biology, and mobile technology. She has extensive experience in software development, and her apps have been downloaded close to half a million times.
Abstract: The body's internal, circadian clock tracks time primarily by tracking light exposure. Short-term disruption of the circadian clock causes jet lag, while long-term disruption-- such as that experienced by shift workers-- is associated with an increased risk of obesity, depression, diabetes, and cancer. Using mathematical modeling, we can predict a person's internal time and use that prediction to make suggestions for how they can correct a disrupted clock. In this talk, I'll introduce mathematical models of the circadian clock and discuss how they can be deployed on mobile devices to help shift workers recover faster.
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