Maude M. David
Maude M. David
Dr. Maude M. David work focused on environmental microbial ecology and next generation sequencing. After graduation, she became a post-doctoral fellow at Lawrence Berkeley National Laboratory. She studied the impact of climate change on different microbial systems, where she developed new computational tools for the analysis of microbial metagenomes. In 2014, she moved to Stanford School of Medicine, applying her biocomputing expertise to studying Autism Spectrum Disorder (ASD). She looked at the impact of the gut microbiome on ASD, as well as evolutionary constraints on the human genes involved in this disorder. She joined Oregon State University as an Assistant Professor in January 2018, where she combines laboratory and computational techniques to unravel the underlying mechanisms of the gut-brain axis. She has a joined appointment in Microbiology and Pharmaceutical Sciences.
Dr. Maude David's laboratory studies the gut-brain axis, to understand how microbes can impact our behavior, specifically in Autism Spectrum Disorder and Anxiety. She uses a crowd-sourced approach to collect lifestyle type information, diet habits, and samples. Her team is also working on identifying bottlenecks in microbial ecology and bioinformatics, bringing novel solutions to unravel microbial molecular mechanisms by optimizing new molecular methods and improving massive sequencing data annotation.
- Computational Biology
- Microbiome Ecology
- Bioinformatics and Genomics
Ph.D. Ecole Centrale de Lyon, U. of Lyon, France
Research AreaBiomedical Science
- Tataru, C. and David, M.M. 2020. Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease. PLoS Comput Biol 4;16(5):e1007859. doi: 10.1371/journal.pcbi.1007859.
- David, M.M., Tataru, C., Daniels, J., Schwartz, J., Keating, J., Hampton-Marcell, J., Gottel, N., Gilbert, J.A. and Wall, D.P. 2018. Crowdsourced study of children with autism and their typically developing siblings identifies differences in taxonomic and predicted function for stool-associated microbes. bioRxiv:319236.
- Kimbrel, J.A., Ballor, N., Wu, Y.W., David, M.M., Hazen, T.C., Simmons, B.A., Singer, S.W. and Jansson, J.K. 2018. Microbial Community Structure and Functional Potential Along a Hypersaline Gradient. Front Microbiol. 9:1492.
- Diaz-Beltran, L., Esteban, F.J., Varma, M., Ortuzk, A., David, M. and Wall, D.P. 2017. Cross-disorder comparative analysis of comorbid conditions reveals novel autism candidate genes. BMC Genomics 19(1):315.
- David, M.M., Enard, D., Ozturk, A., Daniels, J., Jung, J.Y., Diaz-Beltran, L., and D.P. Wall. 2016. Comorbid analysis of genes associated with autism spectrum disorders reveals differential evolutionary constraints. 2016. PloS ONE 11(7)e0157937.
- Hultman, J., Waldrop, M.P., Mackelprang, R., David, M., McFarland, J., Blazewicz, S.J., Harden, J., Turetsky, M.R., McGuire, A.D., Shah, M.B., VerBerkmoes, N.C., Lee, L.H., Mavrommatis, K., and Jansson, J.K. 2015. Multi-omics of permafrost, active layer and thermokarst bog soil microbiomes. Nature 521(7551):208-212.
- Sochat, V., David, M., and Wall, D.P. 2015. Translational meta-analytical methods to localize the regulatory patterns of neurological disorders in the human brain. AMIA Ann. Symp. Proc. 2015, 2073.
- David, M.M., Cecillon, S., Warne, B., Prestat, E., Jansson, J.K., and Vogel, T.M. 2015. Microbial ecology of chlorinated solvent biodegradation. Environ. Microbiol. 17(12):4835-4850.
- Prestat, E., David, M.M., Hultman, J., Tas, N., Lamendella, R., Dvornik, J., Mackelprang, R., Myrold, D.D., Jumpponen, A., Tringe, S.G., Holman, E., Mavromatis, K. and Jansson, J.K. 2014. FOAM (Functional Ontology Assignments for Metagenomes): A hidden Markov Model (HMM) database with environmental focus. Nucleic Acids Res. 42(10):e145-e145.
- Bravo, D., Martin, G., David, M.M., Cailleau, G., Verrecchia, E. and Junier, P. 2013. Identification of active oxalotrophic bacteria by Bromodeoxyuridine DNA labeling in a microcosm soil experiment. FEMS Microbiol. Letts. 348(2):103-111.
- Nicora, C.D., Anderson, B.J., Callister, S.J., Norbeck, A.D., Purvine, S.O., Jansson, J.K., Mason, O.U., David, M., Jurelevicius, D., Smith, R.D. and Lipton, M.S. 2013. Amino acid treatment enhances protein recovery from sediment and soils for metaproteomic studies. Proteomics 13(18-19):2776-2785.
- Mackelprang, R., Waldrop, M.P., DeAngelis, K.M., David, M.M., Chavarria, K.L., Blazewicz, S.J., Rubin, E.M., and Jansson, J.K. 2011. Metagenomic analysis of a permafrost microbial community reveals a rapid response to thaw. Nature 480 (7377):368-371.