Portrait of Nabil Ahmed

Nabil Ahmed

(he/him)

Molecular and Computational Biologist

Germany

Professional summary

I am a molecular and cell biologist with a doctoral degree (Dr. rer. nat.) in biology from RWTH Aachen University, earned at the Institute of Molecular Immunology and Biochemistry. I have recently added computational biology to my training through a bioinformatics programme at CQ Mplus Academy in Berlin. My work focuses on the cellular mechanisms that drive cancer cell survival and progression, and on cell-cell interactions in immune responses. I am particularly interested in how these mechanisms, from cellular stress responses to uncontrolled proliferation, could be targeted therapeutically. I combine molecular biology with my background in immunology and cancer biology, supported by skills in bioinformatics and data analysis.

Download CV (PDF)

Updated September 2026

Research interests

Directions I want to work in, alongside the methods I already use.

Molecular Biology

Cellular stress and homeostasis, mitochondrial function, RNA splicing, single-cell interactomes.

Protein Biochemistry

Protein domain structure and dynamics, BioID/TurboID interactomics, complex stability, and ubiquitin-dependent degradation in disease models.

Computational Biology

Quantitative proteomics, single-cell and spatial transcriptomics, NGS workflows.

Cancer Immunology

Tumour microenvironment, immune cell and tumour interaction, barcoded CAR T-cell screens, immunotherapy.

ORCID 0009-0007-1252-2956 is the authoritative record of my publications. Please use it when citing or linking to my work.

Positions and training

  1. May 2026 — present

    Visiting Scientist

    University of Würzburg (Julius-Maximilians-Universität), Würzburg, Germany

    • Independent multi-omic analysis, including transcriptomics, proteomics, and drug response.
    • Testing and refining REEF, the disease-level signature explorer described below.
  2. August 2025 — June 2026

    Applied Bioinformatics and Biostatistics

    CQ Mplus Academy, Berlin, Germany

    • Programming in Python and shell, object-oriented methodology.
    • Bioinformatics resources and databases: NCBI, Biopython, SQL, web services.
    • Sequence and structural analysis, NGS workflows in Galaxy and Snakemake.
    • Applied biostatistics in R: ANOVA, PCA, HCA, multivariate methods, Bioconductor workflows.
  3. October 2024 — April 2025

    Research scholar

    Goethe University Frankfurt, University Hospital Frankfurt, Department of Hematology

    • Established a CROP-seq screening system with cytosine and adenine deaminase base editors for single-cell readout.
    • Analysed TMT-labelled quantitative proteomics data from mass spectrometry, including internal reference scaling across plexes.
  4. July 2019 — October 2024

    Ph.D. (Dr. rer. nat.) in Biology

    RWTH Aachen University, Institute of Molecular Immunology and Biochemistry

    • Thesis: analysis of the IRE1 interactome using TurboID proximity labeling in the human mast cell leukemia line HMC-1.2.
    • Member of an RWTH Start-Grant funded Research Training Group.
    • First-author publication in Cells; contributing author on a mast cell inhibitor study in European Journal of Immunology.
  5. March 2018 — June 2019

    Medical Technical Assistant

    Ulm University, University Hospital Ulm, Institute of Immunology

    • Immunophenotyping by flow cytometry on BD FACSCanto and LSRFortessa.
    • Colony management and isolation of bone marrow and splenic B cells from genetically modified mouse models.
    • Genotyping by PCR; contributed the in vivo work behind a CLL study in Haematologica.
  6. October 2015 — March 2018

    M.Sc. in Molecular Bioscience

    Ulm University, Institute of Neurobiology

    • Thesis: immunophenotype and downstream signalling of the suppressive ectonucleotidases CD39 and CD73 in primary glioblastoma cells.
  7. September 2013 — May 2014

    Diploma in Analytical Biochemistry

    Menoufia University, Egypt

  8. September 2009 — May 2013

    B.Sc. in Chemistry and Microbiology

    Menoufia University, Egypt

    • Thesis: degradation of IL-2 by Pseudomonas aeruginosa proteases and its effect on host immune responses.

Position Degree Structured training

Research and software

Code is on GitHub.

REEF: disease-level signature explorer

Ranked Expression & Essentiality Finder

Pools cell lines belonging to one disease and extracts the signature they share: commonly and selectively essential genes from CRISPR screens, plus consensus up- and down-regulated genes from expression data. Scoring combines effect size with cross-line consistency, so single-line outliers do not dominate.

Manuscript in preparation.

  • R
  • Shiny
  • CRISPR screens

TurboID interactome pipeline

RWTH Aachen, Institute of Molecular Immunology and Biochemistry

Analysis pipeline for TurboID and BioID proximity-labeling proteomics: contaminant handling, enrichment against the appropriate labeling control, statistical testing and interpretation of proximal interactors.

Underlies the IRE1 interactome published in Cells (2024).

  • R
  • Proteomics
  • Mass spectrometry

Base editing screen with single-cell readout

University Hospital Frankfurt, Department of Hematology

Built a CROP-seq system for cytosine and adenine deaminase base editors, from vector design and viral transduction through to editing validation, so that guide identity and transcriptome can be read out from the same cell.

Screening system established and handed over; wet-lab work, not yet published.

  • CRISPR base editing
  • CROP-seq
  • Lentiviral transduction
  • Cloning

TMT proteomics with internal reference scaling

Training project, University Hospital Frankfurt

Worked through a multi-plex TMT dataset carrying a pooled reference channel and deliberate plex-level batch differences, to show why internal reference scaling is required before any cross-plex comparison is meaningful.

Documented as a reproducible walkthrough.

  • R
  • TMT
  • Batch correction

flowGateR

Independent tool

Scripted gating workflow for flow cytometry in R, written to make gating decisions explicit and repeatable rather than clicked through by hand in a GUI.

Grew out of several years on FACSCanto and LSRFortessa.

  • R
  • Flow cytometry
  • Reproducibility

Mitochondrial DNA NGS workflow

Training project, CQ Mplus Academy, Berlin

Snakemake workflow for mtDNA sequencing from blood samples, covering read processing through variant calling with the steps and dependencies declared rather than implied.

Reusable across sample batches.

  • Snakemake
  • Python
  • NGS

Publications

Full list on ORCID and Google Scholar.

Skills

Molecular and cell biology

PhD at RWTH Aachen, research stay in Frankfurt

  • Molecular cloning
  • Protein pulldown
  • Proximity labeling (TurboID, BioID)
  • 2D and 3D cell culture
  • Lentiviral transduction
  • ELISA
  • CRISPR/Cas9 and base editing

Immunology and in vivo work

Institute of Immunology, Ulm; FELASA B licence

  • Flow cytometry (FACSCanto, LSRFortessa)
  • Immunophenotyping
  • Mouse models
  • B cell and mast cell biology
  • Genotyping PCR

Computational

Published and unpublished analyses, open repositories, ongoing training

  • R (advanced)
  • Python (intermediate)
  • Bash (intermediate)
  • Git and GitHub
  • Bioconductor
  • Snakemake
  • SQL

Data analysis

Proteomics and screen data from own projects; single-cell and spatial methods in training

  • Quantitative proteomics (TMT)
  • Internal reference scaling
  • Proteomics screen analysis
  • Differential expression
  • PCA and multivariate statistics
  • Single-cell RNA-seq (Seurat, in training)
  • Spatial transcriptomics, lymph node Visium (in training)

Other

Doctoral training and supervision

  • Scientific writing
  • Grant preparation
  • Student supervision
  • English (proficient)
  • Arabic (native)
  • German (proficient)

Contact

The fastest way to reach me is email.

The CV above is the full version. References are available on request.

Three cartoon panels of Nabil Ahmed: reading papers over coffee, analysing expression data in R, and pipetting samples at the lab bench