Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Kirstin Aschbacher

Kirstin Aschbacher
Data Scientist and Associate Professor, UCSF Cardiology

Kirstin Aschbacher is a data scientist, a licensed clinical psychologist with a specialty in behavioral medicine, an associate professor in cardiology at UCSF, and the data team lead on the Health eHeart (HeH)/Eureka Digital Research Platform. One of her passions is to bridge the worlds of behavior change and data science in order to transform health, and she enjoys finding creative ways to take knowledge from psychology, neuroscience, and biology and apply them to discover new insights in large datasets. At UCSF, she builds active partnerships with companies in the behavior change and lifestyle medicine space. Previously, she was a data scientist at Silicon Valley startup Jawbone, where she helped design, test, and analyze mini-interventions to help users make healthier behavior choices and lose weight. When she’s not at work, she enjoys being a mother to her two children, biking and dancing, and learning to speak Mandarin.


2:40pm3:20pm Thursday, March 28, 2019
Secondary topics:  Health and Medicine
Kirstin Aschbacher (UCSF Cardiology)
Average rating: ****.
(4.20, 5 ratings)
Some people use digital devices to track their blood alcohol content (BAC). A BAC-tracking app that could anticipate when a person is likely to have a high BAC could offer coaching in a time of need. Kirstin Aschbacher shares a machine learning approach that predicts user BAC levels with good precision based on minimal information, thereby enabling targeted interventions. Read more.