"One of the biggest challenges in medicine and science today and thus, one of HLI's biggest challenges, is how to interpret the vast amount of biological data we are generating from sequencing individual genomes," said Venter. "To make these data interpretable and clinically actionable will require new computational tools. Franz brings not only unquestionable talent in this area, but also a fresh perspective and a creative mind to tackle what has never before been attempted. We are pleased to have Franz join us in our quest to revolutionize healthcare," he concluded.
HLI is building the world's most comprehensive human genotype and phenotype database to tackle the diseases associated with aging-related human biological decline. Building on Och's expertise in language translation, and using his skills in machine learning, he will be responsible for developing new computational methods to translate the human biological information in the forms of the whole human genome, microbiome, and protein sequencing data into the language of human health and disease using human phenotype data.
Och is currently recruiting and building a team of research scientists and software engineers who will be located in
"We're going to need the best and brightest from the areas of computer science, machine learning and big data generation and interpretation as well as those from biology, genomics and bioinformatics to reach a new level of understanding of this massive database" said Och. "I look forward to working with Craig and the team at HLI to enhance our understanding of human biology, to better manage the healthy aging process and thus increase the healthy human lifespan," he said.
Och will be working closely with Yaron Turpaz, Ph.D., MBA, HLI's Chief Information Officer. Turpaz leads bioinformatics efforts at HLI. The new
Since 2004 Och has been a research scientist and manager leading
Before joining Google Och was a researcher in the
Keywords for this news article include: Machine Learning, Machine Translation,
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