Carl Hvarfner has a diverse background in both industry and academia, holding several positions that span from business analysis to research in machine learning. Experience includes roles as a Business Analyst at Intendia Group, Business Analyst Intern at Kearney, and Junior Associate Intern at McKinsey & Company. Currently pursuing a PhD at Lunds universitet, Carl focuses research on Bayesian methods and black-box optimization, having first-authored five papers at prestigious ML/AI conferences. Additionally, teaching experience as a Supplementary Instructor at Lunds tekniska högskola involved supporting first-year mathematics students. Future engagement as a Research Scientist Intern at Meta highlights ongoing contributions to the field of machine learning. Educational background includes a Master's degree in Industrial Engineering and Management from Lunds tekniska högskola and a natural sciences degree from Danderyds Gymnasium.
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