Demarcus Briers

Scientist II at Dyno Therapeutics

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Demarcus Briers is a computational scientist with 11 years of experience applying statistical, machine learning, and network-science methods to metabolite identification, multi-omic integration, and AAV gene therapy optimization. Currently a Scientist II at Dyno Therapeutics, he builds scalable cloud-native pipelines and models to accelerate therapeutic design, drawing on deep experience in untargeted metabolomics, RNA-seq, and proteomics. His background spans academia and industry—from a PhD in Bioinformatics at Boston University modeling multicellular patterning to leading multi-omic platform development at ReviveMed and Foodome—combining full-stack engineering with rigorous biological insight. He routinely deploys Docker/Kubernetes on AWS and GCP, integrates relational and NoSQL databases, and ships production-ready analysis tools. Notably, he merges VR/mobile and biophysical modeling experience with modern bioinformatics, bringing an uncommon interdisciplinary lens to complex biological data problems.
code11 years of coding experience
job9 years of employment as a software developer
bookBachelor of Science (BS), Biology, General, Bachelor of Science (BS), Biology, General at Prairie View A&M University
bookDoctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Boston University
languagesEnglish, Spanish
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Github Skills (32)

supervised-learning9
gate9
simulation8
vagrant7
quantitative6
hpc-applications6
ansible6
docker6
ruby6
virtualization5
automation5
jupyter5
python5
toolbox5
data-driven5

Programming languages (5)

MathematicaHTMLJupyter NotebookRubyPython

Github contributions (5)

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dmarcbriers/cytoflow

Oct 2015 - Mar 2016

Contributions:10 pushes in 5 months
pythontoolboxreproduciblepython-toolboxcytometry
Contributions:17 commits, 1 push in 10 months
optimization-and-controlsupervised-learningsimulation
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