Emily Wissel
Data Scientist
Germany
Summary
🤩
Rockstar🎓
Top SchoolEmily Wissel is a data scientist specializing in bioinformatics and multi-omics analysis with five years of hands-on experience across academic and industry research settings. She has led large-scale microbiome and metagenomics projects—managing ~5 TB datasets, building reproducible R/Python pipelines, and implementing QC and SOPs—while mentoring students and integrating workflows with HPC. Her recent roles span Johns Hopkins, Academia Sinica, and a current appointment at Technical University of Munich, reflecting a transnational research footprint between the US, Taiwan, and Germany. Emily combines wet-lab familiarity with strong computational skills, enabling her to bridge experimental design and downstream analysis in human health studies. She is particularly adept at turning complex, messy biological data into robust, reproducible analyses that inform translational research.
5 years of coding experience
4 years of employment as a software developer
Bachelors of Science Psychology, Bachelors of Science Psychology at The University of Texas at AustinDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Emory University
Github Skills (33)
genes10
microbiology10
bioinformatics10
package-management9
conda9
metagenomics9
bioconda8
sequencing8
genome-assembly8
next-generation-sequencing7
predict7
amr7
genome7
illumina7
pipeline6
Programming languages (7)
Github contributions (5)
ewissel/hAMRoaster
Oct 2021 - Oct 2022
hAMRoaster is an analysis pipeline that can compare the output of nine different tools for detecting AMR genes and provide metrics of their performance
Contributions:2 releases, 28 commits, 1 PR in 1 year
analysis-pipelineninemetagenomicspipelinebioinformatics
ewissel/HF_Metabolomics_MetaAnalysis
Aug 2024 - Jan 2025
This is a public repo to accompany the paper submission and meta-analysis of untargeted metabolomics data from heart failure patients.
Contributions:4 PRs, 27 pushes, 3 branches in 5 months
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