Filip Mellgren is a PhD student in economics based in Stockholm with eight years of experience applying quantitative methods to questions of firm expansion and economic growth. He builds macroeconomic models grounded in Swedish administrative employer-employee data and pairs this empirical rigor with practical coding skills and machine learning, including reinforcement learning–based pricing algorithms. His background spans research roles across Europe and a visiting appointment at Yale, reflecting a blend of academic depth and applied project delivery. Less obvious: he has hands-on product and data experience from SaaS prototyping and data strategy work, which informs his ability to translate complex models into usable tools.
7 years of coding experience
2 years of employment as a software developer
Master's degree, Econometrics and Quantitative Economics, 4.60/5, Master's degree, Econometrics and Quantitative Economics, 4.60/5 at Stockholm School of Economics
Master's degree, Quantitative Economics & Finance, 5.61/6, Master's degree, Quantitative Economics & Finance, 5.61/6 at University of St.Gallen
Gymnasieexamen, Ekonomi, 22.3/22.5, Gymnasieexamen, Ekonomi, 22.3/22.5 at Donnergymnasiet Göteborg
Bachelor of Science (BSc), Business and Economics, 4.08/5, Bachelor of Science (BSc), Business and Economics, 4.08/5 at Handelshögskolan i Stockholm
Studies in statistics & mathematics, Studies in statistics & mathematics at University of Gothenburg
Contributions:35 pushes, 1 branch in 1 year 9 months
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Filip Mellgren - PhD Student at Stockholms universitet