Best practices for analyzing large-scale health data from wearables and smartphone apps & Cracking the mental health code with a blood pressure variability wearable sensor
Category: Seminars
Date: Wednesday, October 30 12:00-1:00 pm
Location: Shriram Center, Room 366
“Best practices for analyzing large-scale health data from wearables and smartphone apps”
Speaker: Jennifer Hicks, PhD, Associate Director of the National Center for Simulation in Rehabilitation Research and Research and Development Manager in OpenSim project
Jennifer Hicks received her Ph.D. in Mechanical Engineering from Stanford University in 2010. Her work, applying computer modeling and statistical learning to understand human movement disorders, was supported by fellowships from the National Science Foundation and the Stanford Bio-X Program. Dr. Hicks is the Director of Data Science for the Mobilize Center, a Big Data to Knowledge (BD2K) Center of Excellence at Stanford University. Dr. Hicks also serves as the Associate Director of the National Center for Simulation in Rehabilitation Research, (NCSRR), an NIH-funded center that brings state-of-the-art engineering tools to rehabilitation scientists. Her research is focused on interfacing biomechanical modeling with statistical and machine learning methods to predict the effects of surgery and other interventions on human movement. She is also using data from mobile phones and other novel sources to understand how to motivate physical activity. Dr. Hicks helps run the multi-faceted training and outreach programs at the Mobilize Center and NCSRR.
“Cracking the mental health code with a blood pressure variability wearable sensor”
Speaker: Visit Thaveep, PhD, Managing Director at ZENSORIUM
Visit Thaveep, trained as a nuclear engineer who experienced several technologies before spearheading the new R&D direction for Nitto Denko Group Company in 2008. Zensorium is the medical device/digital brand of Nitto Denko Corporation, which operates in Singapore and Thailand. The company focuses on developing medical devices targeting unmet needs from social and clinical standpoints for preventive care solutions. At the eWEAR Seminar, Visit’s focus will be on sharing the development of medical grade wearable device, translating long term continuous monitoring vital signs, and sleep architecture into new dimensions of clinical information for mental health and well-being.
