Bioinformatics / Machine Learning
Over the last five years there has been a dramatic convergence of biomedical tools such as genomics and systems biology with advances in bioinformatics and machine learning. This has created an unprecedented opportunity to understand the key components and rules of the human immune system, and transform how we develop new vaccines and therapeutics.
Once scaled, the Human Vaccines Project will represent one of largest data initiatives in the biomedical sciences, with our data outputs estimated at hundreds of billions times that of the Human Genome Project.
To manage and analyze this volume of data, we are have established a global Bioinformatics and Machine Learning Core located at the J. Craig Venter Institute and UC San Diego making use the extensive computing resources at the San Diego Supercomputer Center and the Qualcomm Institute.
Our unique consortium model breaks down traditional barriers between the biological and computer sciences, and leading bioinformatics researchers work with top vaccine scientists to design, implement and analyze outputs from our scientific studies.
As a global nonprofit, we are committed to open source access to our data. We are working with some leading cloud-based and machine learning platforms to enable access to our data, leveraging the expertise from the global research community.
Our Bioinformatics and Machine Learning Core is led by Dr. Richard Scheuermann at JCVI and Dr. Robert Sinkovits at the San Diego Supercomputer Center. Dr. Larry Smarr of the California Institute for Telecommunications and Information Technology (Calit2) is a project advisor.