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Jonas Peters is a professor in the Department of Mathematics at ETH Zurich, specializing in statistical learning and machine learning. His research focuses on developing methods for model selection and causal inference and contributes extensively to the field of statistics. He is actively involved in teaching and mentoring students, facilitating research projects, and collaborating with both academic and industry partners to advance the understanding and application of statistical models. With a passion for teaching, he aims to inspire the next generation of statisticians and data scientists. Peters has published numerous papers in leading statistical journals and is well recognized for his contributions to the field.
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