Brussels Metropolitan Area
"The best discoveries happen at the intersection of disciplines." For 4 years, I worked at the bench fighting cancer: pipetting, culturing, analyzing. I learned to think like a scientist: question everything, follow the data, never assume. Then I discovered bioinformatics. And everything changed. I realized that the biological questions I was asking in the lab could be answered at a completely different scale, not with a single experiment, but with thousands of data points, algorithms, and models. That curiosity never left me. Today, I'm a Molecular Biologist transitioning into Data Science and Bioinformatics, currently interning at IBA Proton Therapy in Brussels, one of the world's leading companies in cancer treatment technology. Here I'm applying Python, R, SQL, and Machine Learning to real-world challenges at the frontier of oncology and data. What makes me different from most data scientists? I understand the biology behind the data. I know what a genomic alteration means clinically. I know why a p-value in a cancer dataset isn't just a number but it could represent a patient's life. That biological intuition, combined with data science skills, is rare. And it matters. My toolkit: Python · R · SQL · scikit-learn · Tableau · ggplot · seaborn · Statistical Analysis · Bioinformatics pipelines What I'm looking for: I'm open to roles as a Data Scientist, Bioinformatician, or Computational Biologist in pharma, biotech, or clinical research, ideally where data and biology intersect to accelerate the fight against cancer. Based in Brussels 🇧🇪 | Open to hybrid and international opportunities. Curious by nature. Rigorous by training. Let's connect.
During my researcher at the Cancer Epigenetics Laboratory, I reached the following objectives: - Investigated how RNA modifications regulate gene expression using ChIP-seq, PAR-CLIP-seq and Hi-C, generating datasets now used as internal references. - Optimised molecular biology workflows and qPCR pipelines, reducing experimental variability by ~25%. - Performed multi-omics data analysis (ChIP-seq / CLIP-seq / Hi-C) in R and Python, speeding up data interpretation by 30%. - Explored epitranscriptomic alterations in melanoma models, identifying candidate pathways for future therapeutic studies. - Maintained cancer cells, mouse ESCs and gastruloids in sterile conditions with zero contamination incidents for 12+ months. - Delivered weekly scientific presentations and managed reporting for national/EU projects, ensuring 100% on-time deliverables. - Mentored bachelor’s and master’s students, improving their experimental design and data quality.
During my Master’s trainee at Prof. Antonio Rosato's Cancer Immunology Laboratory at The Veneto Institute of Oncology (IOV), I reached the following objectives: - Optimised ex-vivo expansion of anti-CD19 CAR-T cells, improving cell viability and expansion yield for downstream assays. - Produced and titrated lentiviral vectors via qPCR, ensuring high-accuracy MOI calculations for reproducible transductions. - Isolated lymphocytes from blood samples and performed CAR transduction, achieving high and stable CAR expression levels. - Executed flow cytometry panels and cytotoxicity assays (Calcein-AM, CellTrace), enabling robust functional profiling of engineered T cells. - Performed molecular assays (PCR, inverse PCR, Western blot) to confirm vector integration and protein expression. - Conducted immunohistochemistry: paraffin embedding, cryostat sectioning, antibody optimisation and confocal imaging for tissue-level analysis. - Authored a Master’s thesis on optimisation of anti-CD19 CAR-T protocols, contributing to a more standardised workflow for the lab.
I worked in Dr. Ilaria Malanchi's Tumour-Host Interaction Laboratory on the following topics: cancer signalling pathways, lung tissue microenvironment and response to injury, breast cancer metastasis. My main daily tasks were lung tissue harvest and single-cell preparation, flow cytometry, RNA extraction and mRNA analysis, immunohistochemistry
Erasmus+ Traineeship Project in Prof. Anthony Bishopp's Laboratory, at Plant and Crop Science Department. Building and studying of recombination plasmids expressing two markers for Arabidopsis thaliana root; GreenGate cloning technique; Other techniques: PCR, gel electophoresis, Lightsheet, confocal microscope.