We are a multi-disciplinary team of computational biologists and experimental scientists working in the area of Computational and Systems biology. We focus on Nutrition, Genetics, Microbiome, and Gene Regulation and their effect on health and disease. We aim to develop personalized nutrition and personalized medicine using machine learning, computational biology, probabilistic modeling, and analysis of heterogeneous high-throughput genomic and clinical data.

Selected papers:

  1. Cell 2015. Personalized nutrition and gut microbiota (video)
  2. Science 2015. Inferring growth dynamics of gut microbiota
  3. Nature 2014. Artificial sweeteners alter gut microbiota and induce glucose intolerance
  4. Nature Reviews Genetics 2014. Design principles of regulatory DNA sequences
  5. Cell 2014. Circadian rhythms and the gut microbiota
  6. Nature Genetics 2012. Tuning expression with nucleosome disfavoring sequences
  7. Nature Biotechnology 2012. Massively parallel measurements of regulatory sequences
  8. Nature 2010. Genome-wide measurements of RNA secondary structure
  9. Nature 2009. The encoding of nucleosome organization in DNA sequence
  10. Nature 2008. Predicting expression patterns from DNA sequence
  11. Nature Genetics 2007. The effect of RNA structure on microRNA targets
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Weizmann Institute
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Recently published: "Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples". Science , 2015.

Recently published: "Artificial sweeteners induce glucose intolerance by altering the gut microbiota". Nature , 2014.

Recently published: "In pursuit of design principles of regulatory sequences", Nature Reviews Genetics, 2014.