Simon Dirmeier is a Senior Data Scientist at Swiss Data Science Center, specializing in machine learning and statistics, with a focus on causal inference, approximate inference, generative modeling, and probabilistic deep learning. Prior roles include Data/ML Scientist at Artificialy and Scientific Assistant at ETH Zürich, where Simon developed statistical and machine learning methods for genetic interventional data and conducted statistical analyses of imaging and sequencing data. Simon's early experiences include a Student Assistant position at Helmholtz Zentrum München, where genomic data was statistically analyzed, and an internship at BASF focused on software development for genomic data analysis. Educationally, Simon holds a Doctor of Science in Computational Statistics and Computational Biology from ETH Zürich, a Master of Science in Computer Science from Technical University of Munich, and a Bachelor of Science in Computer Science also from Technical University of Munich.
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