Summary
Nicolas Volken is a computer and data science graduate with eight years of practical experience across research, security, and applied ML, blending studies at ETH Zürich, King’s College London (top of class), and a perfect-exchange term at University of Toronto. He has contributed to bioinformatics research (single-cell RNA-seq modelling), dataset quality and AI safety work at LatticeFlow, and blockchain/cybersecurity analysis at Scorechain, demonstrating a rare mix of domain breadth from distributed ledgers to computational epigenetics. Comfortable teaching and mentoring undergraduates, he pairs strong academic rigor with hands-on engineering and clear documentation. Based in Luxembourg, Nicolas is continually seeking opportunities to translate creative ideas into robust, well-documented products and systems.
8 years of coding experience
Student Exchange Program, Mathematics and Computer Science, 4.00 / 4.00, Student Exchange Program, Mathematics and Computer Science, 4.00 / 4.00 at University of Toronto
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zürich
Bachelor of Science - BS, Computer Science, 95%, Bachelor of Science - BS, Computer Science, 95% at King's College London
French, English, Spanish, German, Luxembourgish