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Timo Neumann is a skilled Blockchain Engineer at Fyde Treasury, specializing in Solidity and Rust, and has a strong focus on sustainable on-chain treasury and asset management. Previously, Timo held positions as a Software Engineer at Bloomberg, contributing to financial software development, and served as a Scientific Computing Demonstrator and Doctoral Student at the University of Cambridge, where research centered on magneto-optical effects in magnetically doped perovskite semiconductors. Timo's data science experience includes roles as a Data Science Fellow at Faculty and Science to Data Science, as well as a Data Scientist at IQVIA, where Timo developed advanced tools for automated information extraction using natural language processing. With a comprehensive educational background in Physics, including a Ph.D. from the University of Cambridge and multiple degrees from Heidelberg University and Uppsala University, Timo has also published six papers in peer-reviewed journals and engaged in teaching and supervising undergraduate students across various scientific disciplines.