Alex Susemihl is an accomplished researcher and software engineer with a strong background in computational neuroscience and machine learning. At Technische Universität Berlin, Alex pursued a PhD in Computational Biology, focusing on the intersection of machine learning and computational neuroscience, specifically in nonlinear filtering, Bayesian statistics, and efficient coding theory. Prior to this, Alex earned a Bachelor in Molecular Sciences and a Master of Science in Theoretical and Mathematical Physics from Universidade de São Paulo, with a thesis on pattern recognition methods. Additionally, Alex gained practical experience as a Software Engineering Intern at Google, working on music machine learning projects.
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