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Center of Computational Biology Faculty Responds to COVID-19

 

Noah Whiteman, Assistant Professor of Integrative Biology

  • Collaborated with UCB PIs to implement qPCR machines on campus to help Bay Area screen for COVID-19.
  • View here to learn more.
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.
Liana Lareau, Assistant Professor of Bioengineering

  • Received funding from LGR for her project titled, “Rapid, low-cost, high-throughput viral and metagenome sequencing of COVID-19 patient samples for outbreak surveillance.”
  • View here to listen to Professor Lareau explain her research.
Jennifer Listgarten, Professor of Electrical Engineering and Computer Science

  • Received funding from the NCSA and the University of Illinois at Urbana-Champaign, alongside fellow consortium members of the C3.ai Digital Transformation Institute
  • Funding for project titled “Data-Driven, High-Dimensional Design for Trustworthy Drug Discovery.” Read more here.
Teresa Head-Gordon, Professor of Biochemistry, Chemistry, and Chemical Engineering 

  • Received funding for project titled “Scoring Drugs: Small Molecule Drug Discovery for COVID-19 Using Physics-Inspired Machine Learning” Read more here.
  • Launching a website that allows any researcher to perform drug-testing simulations that target proteins essential to COVID-19. Read more here.
Patrick Hsu, Assistant Professor of Bioengineering

  • Received $300,000 in funding for COVID-19 research that uses CRISPR tools to accelerate detection of the virus.
  • Professor Hsu is collaborating with other UC Berkeley faculty to use this funding for also discovering possible new COVID-19 therapeutics. Read more here.
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 examining transmission dynamics of COVID-19 in two Indian states. Read more here.
  • 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.
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.

 

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