Summary
Daniel Feher is a data analyst and researcher with nine years of experience blending applied mathematics, cryptography, and distributed systems. He holds a PhD and has worked as a doctoral and postdoctoral researcher on blockchain consensus and data analytics, publishing multiple peer‑reviewed papers in those areas. Currently at Docler Holding Luxembourg, he translates rigorous academic methods into practical data solutions for industry. His background includes international study and a double-degree master’s, reflecting comfort with cross-border collaboration and diverse research environments. Notably, his work bridges theoretical cryptography and hands-on blockchain performance analysis, giving him a rare combination of formal rigor and applied impact. Open to new opportunities, he brings strong analytical depth and a track record of turning complex mathematical insights into actionable analytics.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Luxembourg
Master of Science - MS, Master of Science - MS at Università di Trento
Summer School, Summer School at KTH Royal Institute of Technology
Master of Science - MS, Master of Science - MS at Eötvös Loránd University
English, Hungarian