We develop computational methods to understand the functions of the human microbiome. Our work involves method development to predict the structures, functions, and interactions of microbes and microbial proteins. We also analyse microbial data to understand how the changes in the microbiome impact human health. Specifically, in the context of mental health, type-1 diabetes, and inflammatory bowel disease.
Long-term, we want to develop a multi-scale understanding of the microbiome, from genes, through structures, to functions, and therapies.
There are no open positions at this time.
Friends and Collaborators
- Knight Lab @ University of California San Diego
- Center for Microbiome Innovation
- Bonneau Lab @ Flatiron Institute
- Xavier Lab @ Broad Institute
- Google Scholar
- Małopolska Centre of Biotechnology
- crash course in bioinformatic analysis of microbiome data (courtesy of CMI)
thanks for keeping our lights on and computers crunching to: