BIDS Senior Fellows Bin Yu and James Sethian have each been awarded funding through CZ Biohub's new Intercampus Research Awards program to pursue collaborative research projects that advance human health.
The Chan Zuckerberg Biohub (CZ Biohub), a nonprofit medical research organization, has announced that it is awarding $13.7 million over three years to support cutting-edge biomedical research through Intercampus Research Awards, a new competitve awards program that promotes collaborative research by bringing together clinicians, biologists, chemists, data scientists, mathematicians, engineers, and bioethicists in teams that each include faculty members from all three of the CZ Biohub campuses: the University of California, San Francisco (UCSF), the University of California, Berkeley (UC Berkeley), and Stanford University.
James Sethian is a professor of mathematics at UC Berkeley, and Director of the Center for Advanced Mathematics for Energy Research Applications (CAMERA). He will be working with collaborators John Boothroyd (of Stanford University's Department of Microbiology and Immunology), Wah Chiu (of Stanford University's Department of Bioengineering), Carolyn Larabell (of UCSF's Department of Anatomy and Lawrence Berkeley National Laboratory's Molecular Biophysics and Integrated Bioimaging group) and with other members of CAMERA on a project entitled Imaging complex biological machines in action. The group will develop more versatile and sophisticated analysis and imaging techniques, allowing researchers to observe the structures and functions of complex molecular mechanisms in intact cells at nearly atomic-resolution. They will initially use these new methods to examine the molecular machinery that parasites use to invade human cells.
Bin Yu is a professor in UC Berkeley's Departments of Statistics and Electrical Engineering & Computer Sciences. She and her collaborators Rima Arnaout (of UCSF's Department of Medicine), Euan Ashley (of Stanford University's Department of Cardiovascular Medicine), J. Ben Brown (of UC Berkeley's Department of Statistics, and Lawrence Berkeley National Laboratory's Department of Molecular Ecosystems Biology), Atul Butte (of UCSF's, Department of Pediatrics, and the Bakar Computational Health Sciences Institute) and James Priest (of Stanford University's Department of Pediatrics) will address Multi-scale deep learning and single-cell models of cardiovascular health. The group will develop new statistical machine learning tools and methods to analyze clinical images and identify genetic variants, allowing researchers to accelerate the pace of discovery of genetic determinants for cardiovascular disease.
Read more about the other exciting research projects being pursued in the CZ Biohub press release.
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