The Chan Zuckerberg Initiative (CZI) was founded in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education, to addressing the needs of our local communities. CZI's imaging program aims to "support the development of new tools or significant enhancements of existing tools to monitor biological processes in motion, across time, and across spatial scales.” One of this year’s grantees is Ahmed Abdelfattah, assistant professor of Brain Science and assistant professor in the Department of Neuroscience for his project “High-speed Volumetric Voltage Imaging.”
With successful completion of this proposal, the Coulombe lab will be able to advance a mechanically robust engineered cardiac tissue therapy for translational applications.
Cel Welch, a Brown biomedical engineering Ph.D. candidate, has been named to the American Chemical Society’s Chemical Abstract Service (CAS) Future Leaders program. Welch is one of 35 elite Ph.D. students and postdoctoral scholars to receive the prestigious award that supports the growth of science leadership potential of early-career scientists.
The work by a research team made up of Brown PhD candidate Ramisa Fariha ScM'20, Prutha Deshpande ScM'22, and undergraduate students Mohannad Jabrah '22, Oluwanifemi David Okoh '25, Emma Rothkopf '23, and Adam Spooner '23 addresses a critical biomedical need and has the potential to be widely adapted by clinicians to monitor antidepressants in patients.
The current dean of the Harvard John A. Paulson School of Engineering and Applied Sciences will take on the role of Brown’s chief academic officer, effective July 1, 2023.
This list recognizes world-class researchers selected for their exceptional research performance, demonstrated by production of multiple highly cited papers that rank in the top one percent by citations for field and year in Web of Science. Of the world’s population of scientists and social scientists, Highly Cited Researchers™ are one in 1,000.
Researchers from Brown and MIT suggest how scientists can circumvent the need for massive data sets to forecast extreme events with the combination of an advanced machine learning system and sequential sampling techniques.
In an important step toward a medical technology that could help restore independence of people with paralysis, researchers find the investigational BrainGate neural interface system has low rates of associated adverse events.