プロフィール詳細

プロジェクトを作成

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Charles Gwellem A.に依頼

Germany

Freelance bioinformatician and computational biologist | Expert in scRNA-seq - Spatial - Transcriptomics - Multi-Omics

プロフィール概要

I help research teams and biotech companies analyze and interpret complex single-cell, spatial transcriptomics, and multi-omics datasets, delivering biologically meaningful, reproducible results and manuscript-ready outputs. Core expertise: - Single-cell RNA-seq, spatial transcriptomics, immune repertoire analysis, and multi-omics integration - Quality control, normalization, clustering, cell annotation, differential expression analysis, pathway enrichment, and biomarker discovery - Tumor microenvironment analysis, including tumor–immune interactions, T cell and B cell biology, and tertiary lymphoid structures - Signature scoring, non-negative matrix factorization, and machine learning applied to biological and clinical datasets - End-to-end bioinformatics support, from raw data processing to biological interpretation, publication-ready figures, and clear research reports Tools and frameworks: - R, Python, Seurat, Bioconductor, Scanpy, ggplot2, tidyverse, DESeq2, edgeR, limma, and reproducible workflow development Track record: - Top-rated freelancer on Upwork with a 100% Job Success Score across completed bioinformatics and data analysis projects. - Experienced in academic research and applied biotech environments, with consistently positive client feedback across completed bioinformatics projects. Education: - M. Eng. in Biomedical Engineering from Martin Luther University Halle (Wittenberg) and Anhalt University of Applied Sciences (Köthen) in Germany - B. Sc. in Biomedical Sciences from the University of Dschang in Cameroon.

専門分野

• ★ Biostatistics
• ★ Data Analysis
• ★ Bioinformatics
• ☆ Computational Biology
• ☆ Molecular Biology
• ☆ Biomarkers
• ☆ Omics
• ☆ Transcriptomics
• ☆ Machine Learning
• ☆ Statistics
• ☆ Applied Statistics
• ☆ Regression Analysis
• ☆ Nonlinear Regression
• ☆ Gene & Protein Expression Analysis
• ☆ Systems Biology
• ☆ Python
• ☆ SQL
• ☆ Tensorflow
• ☆ R
• ☆ Scikit-learn

サービス

• Data & AI

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Goethe University Frankfurt

- 現在

Biological Data Scientist

cerascreen GmbH

8月 2023 - 12月 2024

BIoinformatician

Vindex

12月 2022 - 7月 2023

Bioinformatics Research Associate

Universitätsklinikum Erlangen

12月 2018 - 11月 2022

学歴

M. Eng in Biomedical Engineering

Martin-Luther Universität Halle-Wittenberg - Germany and Anhalt University of Applied Sciences Köthen

10月 2014 - 3月 2018

B. Sc. Biomedical Sciences

University of Dschang

10月 2009 - 12月 2012

認定資格

• Codecademy Pro Intensive Python Certification

  Codecademy

  https://www.credential.net/3ftcamcn#acc.6Nqi7tom

  12月 2018 - 現在

• Data Scientist Associate Certificate

  DataCamp

  https://www.datacamp.com/certificate/DSA0011760942489

  12月 2023 - 12月 2025

出版物

JOURNAL ARTICLE

Richard Demmler, Charles G. Anchang, Yongsong Yong, Andreas Ramming, Simon Rauber, Vera S. Schellerer, Benjamin Schmid, Arndt Hartmann, Susanne Merkel, Katharina Imkeller, et al. (2026). Fibroblast dynamics in colorectal cancer: stability, plasticity, and novel markers . Oncogene.

Charles Gwellem Anchang, Elisabeth Naschberger, Maximilian Fuchs, Nicholas Dickel, Meik Kunz, Bernt Popp, Richard Demmler, Yanmin Lyu, Steffen Uebe, Arif Bülent Ekici, et al. (2023). Tumor microenvironment‐dependent epigenetic imprinting in the vasculature predicts colon cancer outcome . Cancer Communications.

Charles Gwellem Anchang, Cong Xu, Maria Gabriella Raimondo, Raja Atreya, Andreas Maier, Georg Schett, Vasily Zaburdaev, Simon Rauber, Andreas Ramming (2021). The Potential of OMICs Technologies for the Treatment of Immune-Mediated Inflammatory Diseases . International Journal of Molecular Sciences.

C.G. Anchang, B. Matalobos Lawaree, S. Weber, S. Rauber, T. Wohlfahrt, M. Luber, A. Kreuter, G. Schett, J. Distler, A. Ramming (2020). OP0141 HIGH DIMENSIONAL ANALYSIS REVEAL A NETWORK OF CERTAIN TRANSCRIPTION FACTORS THAT LINK VASCULOPATHY AND ORGAN FIBROSIS IN SYSTEMIC SCLEROSIS . Annals of the Rheumatic Diseases.