Center of Computational Biology Faculty Responds to COVID-19

COVID-19 Response

 

	Bin Yu, Professor of Statistics; Ian Holmes, Associate Professor of Bioengineering Awarded seed funding from CITRUS and the Banatao Institute for separate technology projects focused on improving the COVID-19 pandemic. Read more here. Professor Yu’s project will develop COVID-19 forecasting methods. Professor Holmes’ project will enhance understanding of SARS-CoV-2 protein domains.
	Adam Arkin, Professor of Bioengineering Leading team that is part of the Lawrence Berkeley National Laboratory and National Virtual Biotechnology Laboratory to help develop COVID-19 tests. Received funding from the Coronavirus Aid, Relief, and Economic Security (CARES) Act for research. Read more here.
	Lisa Barcellos, Professor of Epidemiology; Joseph Lewnard, Assistant Professor of Epidemiology  Both awarded grants from the IGI’s Rapid Response Research Fund, which promotes research that yields results in 6-12 months for COVID-19. Read more here.
	Rasmus Nielsen, Professor of Integrative Biology & Statistics  Published paper about the molecular evolution and mutations that are involved with the origins of SARS-Cov-2. Read more here. Featured in a recent Nature article that discusses details about the biology of COVID-19. Read more here.
	Joseph Lewnard, Assistant Professor of Epidemiology  Published paper about dynamics of over 9 million individuals associated with COVID-19 in California and Washington. Read the paper from the BMJ here. Collaborating on simulation and computational research to better understand mitigation efforts against this pandemic. Read more here.
	Alan Hubbard, Professor of Biostatistics and Epidemiology   Collaborating on $3.6 million NIH-funded project to simulate and optimize surveillance networks that identify infectious diseases. Read more here. Collaborating on simulation and computational research to better understand mitigation efforts against this pandemic. Read more here.
	Lisa Barcellos, Professor of Epidemiology  Developing a surveillance study for COVID-19 in the asymptomatic population of the Bay Area. Read more here.
	Michael Eisen, Professor of Genetics, Genomics and Development  Joined other UC Berkeley faculty in a live webcast to discuss how data science can be used as a response against COVID-19. Read more here and here.
	Sandrine Dudoit, Professor of Statistics   Joined other UC Berkeley faculty in a live webcast to discuss how data science can be used as a response against COVID-19. Read more here and here.
	Bin Yu, Professor of Statistics  Compiling data from different public sources to help data science efforts against COVID-19 on both the hospital- and country-level. Read more here.