Johannes Elias
Geschäftsführer at MDI Limbach Berlin GmbH
Berlin, Germany
Summary
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Senior🎓
Top SchoolJohannes Elias is a medical microbiology specialist and executive with nine years of professional experience who currently serves as Geschäftsführer of MDI Limbach Berlin and as Professor für Hygiene, Mikrobiologie und Umweltmedizin at HMU in Potsdam. He built his career in clinical and consultative roles—most notably as Chief Consultant in Medical Microbiology at DRK Kliniken Berlin—bridging hospital diagnostics, infection control, and laboratory management. Johannes holds an MD and a habilitation in Medical Microbiology and Bacteriology from Julius-Maximilians-Universität Würzburg and earlier medical training from Universität Wien, combining deep academic credentials with hands-on clinical leadership. He is known for translating complex microbiological science into operational laboratory strategy and educational programs. Based in Berlin, he brings a rare mix of senior administrative responsibility and active teaching, maintaining ties to both patient-centered diagnostics and research-led practice. Beyond the obvious, his public web presence signals a commitment to outreach and knowledge-sharing within the medical microbiology community.
9 years of coding experience
Dr. habil., Medical Microbiology and Bacteriology, Dr. habil., Medical Microbiology and Bacteriology at Julius-Maximilians-Universität WürzburgDr. med. univ., Medicine, Dr. med. univ., Medicine at Universität Wien
Hungarian, German, Spanish, English
Github Skills (29)
genomes7
recommender-system6
surveillance5
bacteria5
database-sequence5
search-engine5
image-search4
bioinformatics4
php3
genome3
sequence3
similarity-search3
approximate-nearest-neighbor-search3
semantic-search3
docker-compose2
Programming languages (6)
Github contributions (5)
dghm-genomics/docker-workshop-braunschweig
Jan 2017 - Jan 2018
Contributions:8 releases, 2 PRs, 111 pushes in 11 months
dockerfilegenomeworkshopdockerannotation
joheli/yea13
Feb 2020 - Sep 2020
Applies algorithm by Ypma et al. (2013) to detect clusters in surveillance data
Contributions:1 release, 31 commits, 1 PR in 7 months
clustersdetectsurveillancesurveillance-data
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