Brittan S. Scales, M.P.H, Ph.D.
Highly skilled Bioinformatician and Microbiologist trained in Microbiome and NGS research
Research Expertise
About
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Education
University of Michigan–Ann Arbor
Ph.D., Microbiology and Immunology / September, 2015
University of California, Berkeley
M.P.H, Infectious Diseases and Vaccinology / May, 2009
University of California, Los Angeles
B.S., Microbiology, Immunology & Molecular Genetics / April, 2006
Experience
ScaleAI
Ph.D. Production Expert, Coding/Math/Science / February, 2023 — March, 2024
Train a proprietary AI model on the subjects of coding, science, and math.
Leibniz Institute for Baltic Sea Research, Warnemünde (IOW)
Postdoctoral Researcher / July, 2018 — November, 2022
Principal researcher for two large international projects. Optimized protocols and pipelines for the sequencing of microbial sequences from mixed trophic aquatic environments. DNA extraction, PCR, molecular methods, NGS, bioinformatic analysis. Analysis and interpretation of targeted metabolomics data using HPLC-UV/Vis and MS. Data storage, organization, and maintenance. Created, organized, and maintained an extensive microbial culture collection. Coordinated international logistics with an inter-disciplinary team. Wrote progress reports and translated official documents between German and English. Presented results to interdisciplinary audiences at the local and international level. Published results in high-impact, peer-reviewed scientific research journals. Supervised and trained student interns and technicians. Prepared protocols and materials for a large, tran-Pacific research cruise. Oversaw day-to-day operations, making sure to maintain a high level of quality assurance.
University of Michigan, Department of Microbiology & Immunology
Postdoctoral Researcher / January, 2016 — June, 2018
Designed RNA-Seq experiments to track microbial gene expression in response to environmental conditions relevant to mammalian host infection. Performed RNA extraction protocols. Mapped phylogenetic relatedness of a new subclade of microorganisms using next-generation sequencing methods.
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