Founded by Dr. Priscilla Chan and Mark Zuckerberg in 2015, the Chan Zuckerberg Initiative (CZI) is a new kind of philanthropy that’s leveraging technology to help solve some of the world’s toughest challenges – from eradicating disease, to improving education, to reforming the criminal justice system. Across three core Initiative focus areas of Science, Education and Justice and Opportunity, we’re pairing engineering with grantmaking, impact investing, policy work, and movement building, to help build an inclusive, just and healthy future for everyone.
We believe we can help build a future for everyone.
Our success is dependent on building teams that include people from different backgrounds and experiences who can challenge each other's assumptions with fresh perspectives. To that end, we look for a diverse pool of applicants including those from historically marginalized groups — women, people with disabilities, people of color, formerly incarcerated people, people who are lesbian, gay, bisexual, transgender, and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds.
The Single Cell Engineering Team is building interactive visual interfaces that put data directly into the hands of scientists. A pilot of our platform was rapidly deployed to host data from healthy and COVID-19 infected tissues, which enabled researchers to evaluate the infectability of different types of cells, which is determined by their co-expression of two key genes: ACE2 and TMPRSS2. This pilot demonstrates how visual tools can help unlock single cell data, enabling scientists to understand how genetic variants impact disease risk, define drug toxicities, and discover better therapies.
CZI's Single Cell Biology Program aims to facilitate the generation of comprehensive reference maps of all human cells, such as the Human Cell Atlas, as a basis for understanding fundamental human biological processes and diagnosing, monitoring, and treating disease. These reference maps are derived from terabytes of cell biology images and biological sequence information. However, cell biologists and physicians, the scientists who have the knowledge to interpret the data, often lack the computational skills needed to access the data.
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