From Oura Ring to Insight: AI in Women’s Health

From Oura Ring to Insight: AI in Women’s Health

Thursday, June 25
4:00 pm – 5:00 pm (Pacific)

Barbara Engelhardt, PhD will discuss her innovative work using AI to analyze large-scale wearable data – including from the Oura Ring – to better understand women’s health. By studying patterns in sleep, body temperature, heart rate, and hormonal cycles, her team is uncovering insights that fill critical gaps in biomedical research. She will share how wearable technology and AI tools are helping researchers better understand menstrual health among a much greater proportion of people who menstruate, and broader changes in reproductive health across the lifespan, paving the way for more personalized and data-driven care.

This program has been organized by IWF NorCal member Ann Blackburn as part of the IWF NorCal Women's Health series.

Date: Thursday, June 25th

Time: 4:00 pm - 5:00 pm (Pacific)

Location: via Zoom (Zoom details will be provided in the Event Registration confirmation email).

Cost: Free but registration is required. Open to all IWF Members and IWF Fellows.

Speaker Bio: Barbara Engelhardt, PhD, is a senior investigator at Gladstone Institutes. She is also a professor in the Department of Biomedical Data Science at Stanford University. Engelhardt opened her lab at Gladstone in 2021. Prior to joining Princeton in 2014, she was an assistant professor in biostatistics and bioinformatics and statistical sciences at Duke University. She graduated from Stanford University, received her PhD in electrical engineering and computer science from UC Berkeley, supported by an NSF Graduate Research Fellowship, and trained as a postdoctoral researcher at the University of Chicago. Engelhardt also spent 2 years working at Jet Propulsion Laboratory, a summer at Google Research and a year at 23andMe. Her research interests involve developing statistical models and methods for the analysis of high-dimensional biomedical data, with a goal of understanding the underlying biological mechanisms of complex phenotypes and human disease. Engelhardt received the 2021 Overton Prize from the International Society for Computational Biology, one of the top awards in this field.