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Priscilla Chan
Co-Founder and Co-CEO of the Chan Zuckerberg Initiative
Priscilla Chan, known for her impactful work in the education and healthcare sectors, currently holds the position of CEO at The Primary School and is a Co-Founder of the Chan Zuckerberg Initiative.
Her academic journey includes a Doctor of Medicine (MD) from the University of California, San Francisco, and a Bachelor's degree in Biology from Harvard University.
Priscilla has been associated with various esteemed organizations in the past including serving as the Board Chair of The Primary School, Co-CEO of the Chan Zuckerberg Initiative, and a Member of the Board of Directors at The Just Trust.
Prior to her leadership roles, she worked as a Pediatrician at Zuckerberg San Francisco General Hospital and Trauma Center and also as a Pediatrics Resident at UCSF Medical Center.
Highlights
Every quarter, I share updates about our work with the wider CZI community of researchers, scientists and partners. In today’s update, I wrote about:
🦠How AI is already changing the speed at which researchers can capture data about our cells
🧬Advances in our work to build and share virtual cell models with the global scientific community
💡How we’re co-building AI-supported education tools with and for teachers
📖The book I can’t put down
Give it a read!
We started the Biohub Network to bring together researchers from across disciplines to pursue important scientific challenges.
My friend and President of #CZBiohubSF, Joe DeRisi, joined together with UCSF pediatric ICU doctor, Aaron Bodansky, to uncover the cause of multisystem inflammatory syndrome seen in children (MIS-C), a serious condition some kids developed post-COVID. Using advanced technology to examine samples from 200 children with the illness, they discovered that MIS-C was due to children's immune systems mistakenly attacking their own cells, confusing them for the virus that causes COVID-19.
This breakthrough showcases the power of the Biohub Network and collaborative research. Their technology is now being applied to samples from about 40,000 individuals to study autoimmune diseases, paving the way for more discoveries on the root causes of disease through AI and machine learning.
https://lnkd.in/gGHAYtfG
