DSRC Colloquium - May 30th, 2022 - Data Science and Health

Zoom Meeting Recording

Data Science and Health

Dr. Hadar Fisher

Title: Does Feeling Bad, Lead to Feeling Good? Patterns of change in emotions during treatment for depression

Abstract: Depression is one of the most prevalent mental health disorders and the leading cause of disability worldwide. One of the leading theoretical models to understand the mechanisms underlying symptoms of depression suggests that the emotional impairment observed in depression results from emotional avoidance. From this perspective, to be modified, negative emotions should first be expressed. Most psychological treatment modalities incorporate interventions aimed at reducing emotional avoidance and increasing the experience and expression of emotions in adaptive ways. However, scant attention has been paid to how emotions are modified during psychological treatment.
In this talk, I will present a study in which we used automatic facial recognition tools and advanced statistical methods to explore whether targeting emotional avoidance during psychological treatment can change the way emotions are experienced and expressed by patients diagnosed with depression.


Speaker: Dr. Yael Garten

 How personal mobile devices and machine learning can provide early warning signals to potential health issues

Abstract: Large-scale healthcare innovation is happening right on the devices we use every day. Revolutionary sensors in iPhone and Apple Watch can provide health and fitness metrics. Intuitive apps help users understand changes in their health while protecting user data. Virtual, large-scale medical studies bring together academic researchers, medical institutions, and healthcare organizations to accelerate innovation. Leveraging these tools and advancements in machine learning, we’re creating opportunities to detect potential health issues early on and empower users to better manage their health.



Dr. Hadar Fisher is a licensed clinical psychologist and a postdoctoral fellow at the Department of Statistics and the Department of Psychology at the University of Haifa. She is researching the role of experiencing and expressing emotions as a mechanism of change in psychological treatment.



Dr. Yael Garten is Director of AI/ML Data Science & Data Engineering at Apple where she leads an organization of engineers, data scientists, data visualization experts, and product managers. Her team partners with Apple’s hardware, software and services teams to measure, understand, and optimize the user experience across Apple products and services, creating powerful data-informed machine learning based product experiences. Yael is a technology business leader with 20 years of experience in data science, machine learning, consumer product strategy, natural language processing and biomedical informatics. She serves on the Board of Directors of Levi Strauss & Co.

Previously, Yael was Director of Data Science at LinkedIn. Prior to that she was a research scientist at Stanford University; her research focused on information extraction and semantic understanding of pharmacogenomic text, to enable clinicians to make better decisions. She champions data culture & data quality with a focus on privacy & ethics, and has developed organizational best practices and tools to democratize data within companies. Yael has a Biomedical Informatics PhD from Stanford University School of Medicine, an MSc from the Weizmann Institute of Science in Israel, and a BSc in Computational Biology from Bar Ilan University. She lives in California with her husband and 3 children.

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