Xiuling Wang in the mountains
from field sites to reproducible data

Microbial Ecologist · Open to New Opportunities

Hi, I’m Xiuling.

I work at the intersection of microbial ecology and data.

I study how climate, depth, hosts, and environments shape bacterial and fungal communities, connecting experiments, statistics, and reproducible data analysis into complete research workflows.

01

Profile

My research connects geography, ecology, biochemistry, and microbiome data science. During my PhD at the University of Potsdam and the GFZ German Research Centre for Geosciences, I focused on microbial communities across Chilean climate gradients and deep-soil profiles, alongside work on rhizosphere and edible-mushroom bacterial and fungal communities.

I can independently lead research from experimental design, low-biomass DNA extraction, qPCR, and sequencing preparation to community analysis, statistical modelling, network analysis, scientific visualisation, and manuscript writing. I am also interested in future work on human-associated communities such as dental plaque and in cross-environment reviews.

Request my full CV
BackgroundPhD in Biochemistry · MSc in Ecology · BSc in Geography
International projectDFG EarthShape · Germany–Chile · 2018–2025
LanguagesChinese (native) · English
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Research Areas

From soils, rhizospheres, and edible fungi to broader host-associated environments, I study how microbial communities assemble, change, and function.

01

Climate gradients & deep-soil microbiomes

Investigating how climate, soil depth, and physicochemical properties jointly shape bacterial communities across Chile’s arid-to-humid gradient.

02

Living and relic microbial communities

Separating intracellular DNA (iDNA) from extracellular DNA (eDNA) to improve ecological inference in low-biomass environments.

03

Rhizosphere & food microbiology

Connecting microbial communities with plants, environments, and production processes, from medicinal-plant rhizospheres to mushroom preservation.

04

Fungi & cross-environment microbiomes

Extending future research and review interests to fungi, edible mushrooms, dental plaque, and microbial communities across contrasting environments.

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Selected Project

EARTHSHAPE · DFG · 2018–2025

Germany–Chile EarthShape BIOSOILS Project

I contributed to deep-soil research across climate zones, linking climate, soil depth, and microbial communities through experiments and data analysis. I also optimised a low-biomass soil DNA extraction workflow adopted by the GFZ laboratory.
iDNA / eDNA16S rRNA0–200 cmGermany–Chile
View the project
04

Publications & Manuscripts

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Experience

Education

PhD in Biochemistry

University of Potsdam · doctoral research at the GFZ German Research Centre for Geosciences

MSc in Ecology

Shihezi University · microbial ecology

BSc in Geography

Zhengzhou Normal University

Research Experience

Doctoral Researcher

GFZ German Research Centre for Geosciences · Geomicrobiology · Potsdam

Research Intern

Institute of Edible Fungi, Shanghai Academy of Agricultural Sciences

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Skills

Research workflows integrating laboratory work, data, and AI agents.

AI agents & research workflows

Advanced Codex user with extensive experience in Claude Code and ChatGPT; skilled in task decomposition, agent collaboration, prompting, output validation, and long-running workflows.

CodexClaude CodeChatGPTAgent workflows

R & AI-assisted programming

Around five years of R experience (2021–present) across data wrangling, statistical modelling, microbial community analysis, and visualisation. I now work primarily through AI-assisted development while retaining methodological judgement, debugging, and reproducibility skills.

Rtidyverseggplot2Reproducible analysis

Statistics & microbiome data

Experienced with SPSS, community and network analyses, multivariate statistics, and scientific visualisation from raw data to publication-ready results.

SPSSCommunity analysisNetworksVisualisation

Microbial ecology laboratory work

Low-biomass soil DNA extraction, PCR, qPCR, library preparation, microbial isolation and cultivation, and 16S, ITS, and metagenomic workflows.

16SITSMetagenomicsqPCR
Codex Claude Code ChatGPT R SPSS Microbiome data 16S / ITS

Contact & Collaboration

I welcome conversations about research collaborations, data-focused roles, joint projects, and future student opportunities.