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Sledge doon

@sledgedoon

Bioinformatics Analyst at Guangzhou Brain Hospital analyzing Parkinson’s multi-omics data and disease progression markers.

China
Message

At Guangzhou Brain Hospital, Affiliated to Guangzhou Medical University, I conduct multi-omics analysis for Parkinson’s disease-related projects. I develop and maintain downstream pipelines for shotgun metagenomics, metabolomics, and TMT-based quantitative proteomics.

For a Parkinson’s disease cohort project, I analyzed data from more than 250 subjects across multiple disease stages. I integrated microbial, metabolite, and protein results into association networks to explore molecular patterns along disease progression.

At Chengdu Jiasiwell Technology Co., Ltd., I built transcriptomic analysis workflows using public GEO, TCGA, and GTEx datasets. I also applied WGCNA and machine-learning methods for feature selection and predictive modeling.

Earlier, at Shanghai Berger Medical Technology Co., Ltd., I participated in performance validation of IVD nucleic acid detection kits and supported laboratory method verification and documentation. I focus on making omics analyses reproducible and translating complex results into findings that support research and R&D decisions.

Experience

Work history, roles, and key accomplishments

GU
Current

Research Assistant

Guangzhou Brain Hospital, Affiliated to Guangzhou Medical Un

Mar 2025 - Present (1 year 8 months)

Conduct multi-omics data analysis for Parkinson's disease-related projects, developing and maintaining downstream analysis pipelines for shotgun metagenomics, metabolomics, and TMT-based quantitative proteomics. Performed metagenomic analyses including taxonomic profiling, diversity analysis, and differential taxa identification, and applied machine learning methods to build classification models

CL

Bioinformatics Engineer

Chengdu Jiasiwell Technology Co., Ltd.

Oct 2023 - Oct 2024 (1 year)

Built and maintained transcriptomic data analysis pipelines based on public datasets (GEO, TCGA, GTEx), covering data acquisition, normalization, sample grouping, and batch effect correction. Developed standardized workflows for differential expression analysis and functional enrichment, and applied machine learning methods for feature selection and predictive model construction.

SL

Technical Support

Shanghai Berger Medical Technology Co., Ltd.

Sep 2022 - Jan 2023 (4 months)

Participated in performance validation of IVD nucleic acid detection kits, including sensitivity, specificity, stability, and reproducibility assessments. Conducted statistical analysis and documentation of validation data in compliance with regulatory requirements.

Education

Degrees, certifications, and relevant coursework

HU

Hainan Tropical Ocean University

Bachelor of Science, Life Science

2018 - 2022

Pursued a Bachelor of Science in a life science-related major, completing the degree in 2022.

Tech stack

Software and tools used professionally

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