Isaac Peabody

Research Associate at AMPEL BioSolutions
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Contact Information
us****@****om
(386) 825-5501
Location
New York, New York, United States, US

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Experience

    • United States
    • Biotechnology Research
    • 1 - 100 Employee
    • Research Associate
      • Jun 2022 - Present

      -Analyzed genomic data from thousands of lupus patients to identify novel disease pathways for systemic lupus erythematosus (SLE) using specialized R packages (GSEABase, GSVA, Rpart) -Implemented new bioinformatics pipelines to decipher the effects of specific mutations on SLE, combining data visualization tools (Cytoscape, Prism), differential expression analyses (DESeq2), and biological pathway enrichment databases (Enrichr, Ingenuity Pathway Analysis) -Attended and helped administrate… Show more -Analyzed genomic data from thousands of lupus patients to identify novel disease pathways for systemic lupus erythematosus (SLE) using specialized R packages (GSEABase, GSVA, Rpart) -Implemented new bioinformatics pipelines to decipher the effects of specific mutations on SLE, combining data visualization tools (Cytoscape, Prism), differential expression analyses (DESeq2), and biological pathway enrichment databases (Enrichr, Ingenuity Pathway Analysis) -Attended and helped administrate the annual 21st Century Lupus Conference alongside AMPEL's clinical operations team, bringing together over 300 lupus patients, autoimmune researchers, and pharmaceutical industry representatives

    • Bioinformatics Intern
      • Feb 2020 - May 2022

      -Generated novel gene signatures for a variety of cellular processes implicated in lupus pathology -Processed literature on autoimmune disorders similar to SLE, presenting findings monthly to a group of 20 AMPEL researchers

    • United States
    • Higher Education
    • 700 & Above Employee
    • Undergraduate Researcher - Hirsh Lab
      • Oct 2018 - May 2020

      -Built analytical tools in Python to process single-cell sequencing data, isolating 8 transcription factors unique to dopamine-positive brain cells -Designed activity monitors in AutoCAD to measure fly locomotion under different drug dosages, enabling simultaneous observation of 4 different experimental conditions -Built analytical tools in Python to process single-cell sequencing data, isolating 8 transcription factors unique to dopamine-positive brain cells -Designed activity monitors in AutoCAD to measure fly locomotion under different drug dosages, enabling simultaneous observation of 4 different experimental conditions

    • United States
    • Research Services
    • 200 - 300 Employee
    • Research Assistant
      • Jun 2017 - Aug 2017

      -Implemented RNA sequencing pipelines to process raw genomic reads from yeast strains under oxidative stress via shell scripting -Assisted lab Ph.D. students with propagating cell cultures, harvesting DNA / RNA, and transforming recombinant E. coli lineages -Implemented RNA sequencing pipelines to process raw genomic reads from yeast strains under oxidative stress via shell scripting -Assisted lab Ph.D. students with propagating cell cultures, harvesting DNA / RNA, and transforming recombinant E. coli lineages

Education

  • Columbia Engineering
    Master of Science, Data Science
    2023 - 2024
  • University of Virginia
    Bachelor of Science - BS, Biology and Mathematics
    2018 - 2022

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