MSc Molecular Genetics & Biotechnology
π§πͺ Antwerp, Belgium Β· π³π± Leiden, Netherlands Β· π©π° Copenhagen, Denmark
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.
| 𧬠Experimental | π» 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 |
| Year | Degree | Institution |
|---|---|---|
| 2024 β Present | MSc Molecular Genetics and Biotechnology | Leiden University, Netherlands |
| 2017 β 2021 | BSc Chemistry, specialisation in Biochemistry | Artesis Plantijn University of Applied Sciences, Belgium |
Technical University of Denmark (DTU) Β· Dept. of Bioengineering Β· Mar 2026 β 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.
Institute of Biology Leiden (IBL), Leiden University Β· Jan 2025 β 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.
Meatable Β· Mar 2023 β 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 β Mar 2023
Centre for Medical Genetics, University of Antwerp Β· Feb 2021 β 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.
| 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 |
| 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 |
Dutch β Native Β English β Fluent Β French β Intermediate
