
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.
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 CVResearch Areas
From soils, rhizospheres, and edible fungi to broader host-associated environments, I study how microbial communities assemble, change, and function.
Climate gradients & deep-soil microbiomes
Investigating how climate, soil depth, and physicochemical properties jointly shape bacterial communities across Chile’s arid-to-humid gradient.
Living and relic microbial communities
Separating intracellular DNA (iDNA) from extracellular DNA (eDNA) to improve ecological inference in low-biomass environments.
Rhizosphere & food microbiology
Connecting microbial communities with plants, environments, and production processes, from medicinal-plant rhizospheres to mushroom preservation.
Fungi & cross-environment microbiomes
Extending future research and review interests to fungi, edible mushrooms, dental plaque, and microbial communities across contrasting environments.
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.View the projectPublications & Manuscripts
Rhizosphere fungal communities of four Ferula species in their native habitats in northern Xinjiang
Depth-dependent differences between direct total DNA and an intracellular-DNA-enriched fraction in bulk-soil bacterial and fungal communities of a Lonicera japonica field
Mechanical Damage Modulates Bacterial and Fungal Succession on the Surface of Hypsizygus marmoreus During Refrigerated Storage
The effects of climate and soil depth on living and dead bacterial communities along a longitudinal gradient in Chile
Low Temperature (15 °C) Reduces Bacterial Diversity and Prolongs the Preservation Time of Volvariella volvacea
Bacterial diversity and community structure in the rhizosphere of four Ferula species
A unique mountainous vertical distribution patterns and related environmental interpretation – a case study on the northern slope of the Ili River Valley
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
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.
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.
Statistics & microbiome data
Experienced with SPSS, community and network analyses, multivariate statistics, and scientific visualisation from raw data to publication-ready results.
Microbial ecology laboratory work
Low-biomass soil DNA extraction, PCR, qPCR, library preparation, microbial isolation and cultivation, and 16S, ITS, and metagenomic workflows.
Contact & Collaboration