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Thomas Oskar Weinmann is an expert in Scientific Computing and Algorithmics at Zurich University of Applied Sciences (ZHAW). He specializes in Bayesian probabilistic models, machine learning, optimization, and visual computing. He teaches courses in Analysis, Linear Algebra, Probability, and Numerical Methods in Bachelor programs, and supervises theses in machine learning at the Bachelor, Master, and PhD levels. He holds a PhD in Mathematics from ETH Zurich, completed in 2007, and is certified in Visual Computing since 2011. His research contributions include peer-reviewed articles in prestigious journals such as Magnetic Resonance and Data & Knowledge Engineering. Thomas's work in efficient query processing and analysis of NMR spectra reflects his commitment to advancing the fields of data engineering and computational science.
Zurich University of Applied Sciences • Winterthur, Switzerland
Leading the research focus in Scientific Computing and Algorithmics.
This requirement applies generally to the Master of Science in Engineering and its specializations like Data Science, Computer Science, and Medical Physics.