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J. Christopher Ellis

Computational Biology and Machine Learning
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J. Ellis is a prominent computational microbiologist with extensive experience in large-scale multi-omic, multi-institutional research. He has a Ph.D. in Microbiology from North Carolina State University and has held several prestigious research positions, including Head Microbiology & NGS/Informatics Labs BR&D at Eli Lilly and Company, IRTA Post Doctoral Fellow at National Institute of Environmental Health Sciences (NIEHS), and Post Doctoral Associate at Duke University.

Currently, J. Ellis is leading the MIND consortium, a multi-institutional research endeavor aimed at understanding how the microbiome of idiopathic neurodegenerative diseases influences the onset and progression of Alzheimer's, ALS, and Parkinson’s disease. He is employing machine learning and explainable AI to find associations between the microbiome and neurodegenerative disease. J. Ellis is examining various changes to find microbial associations in disease states, such as transcriptome, metageome, bacterial genomes, metabolomes, viruses, bacteria, arachaea, and eukaryome.

J. Ellis is one of the leading researchers in his field and, with his wealth of experience, is well-positioned to lead such a momentous research initiative. Collaborating with him or learning more about the MIND consortium can be done by messaging him directly or joining the MIND Consortium on LinkedIn.

This public profile is provided courtesy of Clay. All information found here is in the public domain.
This public profile is provided courtesy of Clay. All information found here is in the public domain.