Julian Blank is an Applied Scientist at Amazon, specializing in machine learning and optimization with over seven years of experience in the field. They hold a PhD in Computer Software Engineering from Michigan State University and have contributed to numerous publications in optimization and data science. Julian is the founder and leading developer of pymoo, an influential open-source optimization toolkit used by hundreds of researchers. Their recent focus on causal inference enhances methods for analyzing treatment effects in A/B tests while tackling complex business challenges with scalability through cloud services.
Location
Seattle, United States
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