Meghan Chafee
Director at Seres Therapeutics
Cambridge, Massachusetts, United States
Summary
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Senior🎓
Top SchoolMeghan Chafee is a computational scientist and director with a decade of experience translating microbiome and genomic data into clinical development decisions for microbiome therapeutics. Based in Cambridge, MA, she has risen through progressive R&D roles at Seres Therapeutics, where she now leads teams that design and execute statistical analysis plans for PK/PD, clinical discovery, and trial support. Her academic background—PhD in Marine Microbiology from the Max Planck Institute—anchors a deep expertise in time-series metagenomics and 16S analysis applied to complex microbial ecosystems. Meghan combines hands-on bioinformatics and protocol optimization experience from academic labs with strategic leadership in industry, bridging discovery science and regulatory-facing clinical analytics. She is known for distilling high-resolution ecological patterns into actionable biomarkers and trial endpoints, an approach informed by studying bacterioplankton dynamics in the North Sea. Colleagues rely on her ability to turn large, noisy datasets into rigorous, reproducible evidence that advances microbiome therapeutics toward the clinic.
9 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Marine Sciences, Master of Science - MS, Marine Sciences at University of North Carolina WilmingtonDoctor of Philosophy - PhD, Marine Microbiology, Doctor of Philosophy - PhD, Marine Microbiology at Max Planck Institute for Marine MicrobiologyBachelor of Science - BS, Marine Biology and Biological Oceanography, Bachelor of Science - BS, Marine Biology and Biological Oceanography at College of Charleston
Github Skills (4)
bioinformatics4
sequencing4
genomics3
phyloseq2
Programming languages (1)
Github contributions (4)
mc68462/medNS
Jun 2016 - Oct 2017
Contributions:2 releases, 88 commits, 87 pushes in 1 year 3 months
mc68462/marmic_2017
Jan 2017 - Feb 2017
Contributions:5 pushes, 1 branch in 1 month
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