Summary
Christian Griffioen is a bioinformatics-focused data scientist with eight years of experience applying machine learning and analytical methods to oncology and molecular biology datasets. Currently working as Bioinformaticus Oncogenomics at Amsterdam UMC, he brings hands-on expertise in sequencing analysis and diagnostic tool development from internships at Cancer Centre Amsterdam, Agendia, and VU Amsterdam where his work contributed to a published ML tool for protein interaction site prediction. A recent Master of Data Science graduate from the University of Amsterdam, he blends rigorous computational training with practical lab-driven projects such as benchmarking reverse transcription enzymes on tRNA and large-scale microarray analyses. Based in the Randstad, he combines research curiosity with production-minded solutions for translational cancer research, often bridging methods development and real-world diagnostic applications.
8 years of coding experience
Hogeschool Leiden
Master, Data Science, Master, Data Science at Universiteit van Amsterdam