Take a Hack at COVID!
by Benjamin Smarr

Abstract:
Professor Smarr is the technical lead on TemPredict, an international research effort aimed at building deployable algorithms for COVID detection and health monitoring. TemPredict gathered wearable and survey data from ~65,000 global participants. Professor Smarr will share some early insights, and highlight opportunities for interested hackers to get involved in future analyses.

Bio:
Benjamin Smarr is an assistant professor at the Halicioğlu Data Science Institute and the Department of Bioengineering at the University of California, San Diego. As an NIH fellow at UC Berkeley he developed techniques for extracting health and performance predictors from repeated, longitudinal physiological measurements. Historically his work has focused on neuroendocrine control and women’s health, including demonstrations of pregnancy detection and outcome prediction, neural control of ovulation, and the importance of circadian rhythms in healthy in utero development. Pursuing these and other projects he has won many awards from NSF, NIH, and private organizations, and has founded relationships with patient communities such as Quantified Self. With the COVID-19 pandemic, he became the technical lead on TemPredict, a global collaboration combining physiological data, symptom reports, and diagnostic testing, seeking to build data models capable of early-onset detection, severity prediction, and recovery monitoring.

Zoom link:
https://us02web.zoom.us/j/83577536935?pwd=UElhMjJyc2ZON1VKSTVVVGlrZENidz09

=================
Agenda (Pacific Daylight Time, UTC -07)

• 5:30 - 5:40 pm -- Gathering and introductions
• 5:40 - 6:30 pm -- Talk
• 6:30 - 7:00 pm -- Q & A, discussion

Links to slides and videos of meetup presentations are available on the SDML GitHub repo https://github.com/SanDiegoMachineLearning/talks

=================
Questions?

Join our slack channel or leave a comment below if you have any questions about the group or need clarification on anything.
https://join.slack.com/t/sdmachinelearning/shared_invite/zt-6b0ojqdz-9bG7tyJMddVHZ3Zm9IajJA