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TSchrauwen/README.md

Thomas Schrauwen

MSc Molecular Genetics & Biotechnology

πŸ‡§πŸ‡ͺ Antwerp, Belgium Β· πŸ‡³πŸ‡± Leiden, Netherlands Β· πŸ‡©πŸ‡° Copenhagen, Denmark

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πŸ‘€ About

My name is Thomas Schrauwen, I have four years of industry experience in stem cell biology, molecular engineering, and computational biology. In 2024, I started a MSc in Molecular Genetics & Biotechnology in combination with my full-time job in the cultivated meat sector. Currently, I am applying generative AI for de novo nanobody design against migraine-associated GPCRs at DTU Denmark, combining deep wet-lab expertise with data-driven approaches to therapeutic discovery.

🧬 Experimental πŸ’» Computational
Stem cell biology (iPSCs, EpiSCs) Generative AI for protein & antibody design
CRISPR/Cas9 genome editing scRNA-seq analysis
High-throughput cell-based assays Protein-ligand docking
Bioreactor culture systems Machine learning in biology

πŸŽ“ Education

Year Degree Institution
2024 – Present MSc Molecular Genetics and Biotechnology Leiden University, Netherlands
2017 – 2021 BSc Chemistry, specialisation in Biochemistry Artesis Plantijn University of Applied Sciences, Belgium

πŸ’Ό Experience

πŸ”¬ MSc Research Intern β€” Digital Biotechnology Lab

Technical University of Denmark (DTU) Β· Dept. of Bioengineering Β· Mar 2026 – Present Β· Kongens Lyngby, Denmark

Supervised by Dr. Timothy Jenkins

  • Designing de novo nanobodies against migraine-associated GPCRs using generative AI, integrating protein language models and structure-based deep learning for candidate generation and in silico and in vitro evaluation.

🧬 MSc Research Intern β€” Bioinformatics

Institute of Biology Leiden (IBL), Leiden University Β· Jan 2025 – Jul 2025 Β· Leiden, Netherlands

Supervised by Prof. Marcel Schaaf and Dr. Bastienne Vriesendorp Β· 8.5/10

  • Performed scRNA-seq analysis in R (Seurat, Bioconductor) to characterise glucocorticoid-induced transcriptional responses in zebrafish.
  • Conducted protein-ligand docking on an HPC cluster (Linux, Slurm, Conda) to predict novel glucocorticoid receptor-binding candidates.

🧫 Assistant Scientist

Meatable Β· Mar 2023 – Nov 2025 Β· Leiden, Netherlands

  • Cultured porcine and bovine cell lines β€” primary cells, iPSCs, and EpiSCs β€” across 2D and 3D suspension formats (shaker flasks, 96-well plates, Ambr250 bioreactors).
  • Executed RNA- and DNA-based reprogramming experiments, characterising newly derived lines from induction to stable establishment using molecular and imaging assays.
  • Designed plasmid constructs in SnapGene and Benchling for cloning workflows.
  • Led a project establishing a high-throughput screening workflow for 3D stem cell aggregates in suspension, achieving 20Γ— greater throughput for media development and cell line adaptation.

Cell Culture Technician Β· Mar 2022 – Mar 2023

πŸ₯ Research Intern

Centre for Medical Genetics, University of Antwerp Β· Feb 2021 – May 2021 Β· Antwerp, Belgium

  • Contributed to optimising a CRISPR/Cas9 workflow for introducing pathogenic Brugada Syndrome mutations into hiPSCs.
  • Screened gRNA candidates via nucleofection to identify optimal InDel-forming sequences, confirmed by Sanger sequencing and gel electrophoresis.
  • Techniques: gRNA design, nucleofection, PCR, Sanger sequencing, gel electrophoresis, DNA/RNA isolation, mycoplasma detection.

πŸ›  Skills

πŸ’» Computational & Software

Category Tools
HPC & Environment Linux Β· Bash Β· Slurm Β· Conda
Bioinformatics Seurat Β· Monocle3 Β· SurfDock Β· Ensembl Β· Jupyter Notebook/Lab
Protein Design Germinal Β· Alphafold
Lab Informatics SnapGene Β· Benchling Β· CellProfiler Β· FlowLogic Β· Spotfire Β· eLabJournal
CRISPR Design CRISPOR Β· CHOPCHOP
Chemistry ChemSketch

πŸ§ͺ Laboratory

Category Techniques
Cell Biology Adherent & suspension stem cell culture, iPSC/EpiSC handling, colony picking (manual & automated), Ambr250 bioreactor operation
Molecular Biology Transfection, nucleofection, qPCR, PCR, Sanger sequencing, Gibson Assembly, plasmid design, DNA/RNA isolation
Analytics Gel & capillary electrophoresis, immunofluorescence, flow cytometry, fluorescent/luminescent assays
Instrumentation GC, HPLC, AAS, AES, spectrophotometry, 2D/3D cell imaging
Chromatography Size-exclusion, hydrophobic interaction, ion-exchange
Computational scRNA-seq analysis, protein-ligand docking, Protein Design, HPC cluster usage

🌍 Languages

Dutch β€” Native Β  English β€” Fluent Β  French β€” Intermediate


Β© 2026 Thomas Schrauwen

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