Andreas Wilke

Principal Software Development Specialist at Argonne National Laboratory

Lemont, Illinois, United States
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Summary

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Senior
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Top School
Andreas Wilke is a Principal Software Development Specialist with 14 years of experience building scalable bioinformatics platforms and scientific software at Argonne National Laboratory and the University of Chicago. He led architecture and modernization efforts for MG-RAST, redesigning its API and storage to support Cassandra, MongoDB, ElasticSearch and S3 while introducing containerized deployment and orchestration with Docker and Kubernetes. His work spans metagenomics pipelines, annotation systems, and reproducible testing frameworks for climate modeling codes, blending deep computational-biology expertise with pragmatic engineering. He frequently bridges research and production, converting ad hoc scientific tests into automated CI workflows and exploring ML-driven predictive analyses with TensorFlow and scikit-learn. Based in Lemont, Illinois, he combines a Diplom in Bioinformatics with hands-on systems design that quietly shapes widely used community resources in genomics.
code14 years of coding experience
job5 years of employment as a software developer
bookBS, Computer Science, BS, Computer Science at Bielefeld University
bookDiplom, Bioinformatics, Diplom, Bioinformatics at Universität Bielefeld
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Github Skills (73)

earth-science10
backend10
snl-applications10
metagenomics10
fortran10
earth10
modeling10
protein-sequences9
pipeline9
exascale9
api9
infrastructure9
aerospike9
python8
data-management8

Programming languages (13)

JavaCSSMakefileTeXGoPerlHTMLJupyter Notebook

Github contributions (5)

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MG-RAST/qiime-pipeline

Aug 2018 - Jul 2026

MG-RAST embedded QIIME pipeline using CWL
Contributions:4 PRs, 82 pushes, 7 branches in 8 years
qiime
JDACS4C-IMPROVE/IGTD

Dec 2022 - Apr 2024

Image Generator for Tabular Data (IGTD): Converting Tabular Data to Images for Deep Learning Using Convolutional Neural Networks
Contributions:1 release, 3 PRs, 12 pushes in 1 year 4 months
convolutional-neural-networksdeep-learningimage-generatorsingle-drp
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