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Hi, I am Josi

Josua Carl

Research Software Engineer at QBiC

I am a research software engineer with 2 years of working experience. I built plugins for Nextflow using Groovy. I like to get into the gritty details of systems and squeezing the bugs out while easing the features in.

Curiosity
Team Work
Bug hunting

Skills

Experiences

1
QBiC

Feb 2025 - Present

Tübingen

The quantitative biology center (QBiC) develops and deploys approaches to analyze biological data.

Research Software Engineer

Feb 2025 - Present

Responsibilities:
  • Design and develop plugin for Nextflow
  • Research on CO2 footprint of cluster computing
  • Experimental verification of power models

Link Lab & CMFI

Okt 2024 - Jan 2025

Tübingen

The controlling microbes to fight infections (CMFI) cluster studies mechanisms to control microbes.

Research Assistant

Okt 2024 - Jan 2025

Responsibilities:
  • Develop platform for metabolic analysis pipelines
  • Develop and test machine learning approaches to species inference through metabolomes.
2

3
Plant Ecology working group

Jan 2021 - Mar 2024

Tübingen

Administered local machines and cloud systems for the Plant Ecology working group, the SAGE Project, and the botanical garden.

Systems administrator

Jan 2021 - Mar 2024

Responsibilities:
  • Administer local machines in collaboration with the university’s team.
  • Administer a cloud solution for hosting data for shared research projects.

Several jobs outside of IT

2012 - 2021

Southern Germany

Worked as a physical therapist and several smaller jobs. For details please refer to my CV.

Various

2012 - 2021

4

Education

M.Sc. Bioinformatics
GPA: 1.7 out of 6
Master’s thesis:
Inference of microbiome composition from flow-injection mass spectrometry data with machine learning
B.Sc. Bioinformatics
GPA: 2 out of 6
Bachelor’s thesis:
Investigation of Finegoldia magna ATCC 29328 in the nasal environment
Certified physical therapist
GPA: 2 out of 6
Abitur
GPA: 2.3 out of 6
Extracurricular Activities:
  • Voluntary social work in local Kindergarden

Projects

nf-co2footprint
nf-co2footprint
Creator February 2025 - Present

A Nextflow plugin to estimate the CO₂ footprint of pipeline runs.

nf-core
nf-core
Contributor March 2026 - Present

Community framework for the utilization of well curated Nextflow pipelines.

Leuchtturmmomente
Leuchtturmmomente
Creator September 2026 - Present

A small website for a local business.

Wagner_Analyzers
Wagner_Analyzers
Creator September 2025 - Present

Workflow scripting for ImageJ, custom made for the Wagner working group.

citation-style-language
citation-style-language
Contributor June 2026

Official repository for Citation Style Language (CSL) citation styles.

MStoML
MStoML
Creator March 2024 - January 2025

Mass-spectrometry to Machine Learning pipeline.

taipy
taipy
Contributor March 2024 - January 2025

Turns Data and AI algorithms into production-ready web applications in no time.

Publications

Transmembrane effector substrates of type IV secretion systems: mechanisms of secretion and insertion into host cell membranes
microLife February 2026

Intracellular Gram-negative pathogens employ either type IVA or type IVB secretion systems (T4SSs) to translocate effector proteins into host cells, where they modulate cellular processes to facilitate infection and promote intracellular survival. Roughly one-third of these effectors harbor hydrophobic transmembrane domains and are thus destined for integration into host cell membranes during infection. Many of these transmembrane domain-containing effectors (TMEs) localize to the membrane of the pathogen-containing vacuole, thereby contributing to its formation and remodeling. Despite the biological relevance of TMEs, the detailed molecular mechanisms governing their translocation via T4SSs and subsequent membrane integration in the host cell remain insufficiently understood. In this review, the biophysical characteristics of T4SS-secreted TMEs are systematically examined, including predictions of membrane topology and hydrophobicity. These analyses are then contextualized through comparison with recent structural analysis of both T4ASS and T4BSS machineries, as well as with mechanistic principles of eukaryotic membrane protein biogenesis. This integrative approach enables the conceptual reconstruction of the potential pathways by which TMEs are translocated through the T4SS and subsequently targeted and inserted into host membranes, offering new mechanistic insights into the poorly understood handling of bacterial TMEs from both the pathogen and host perspectives.