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Mohammad Ghasempour is a Postdoctoral fellow at Umeå University, specializing in statistics within social sciences. His research interests include developing statistical models and methods to study causal relationships and life trajectories in various domains such as the labor market and health. Ghasempour has contributed to projects aimed at harnessing the power of machine learning in analyzing large datasets to yield valid statistical conclusions. He is actively involved in the Stat4Reg research group, focusing on generative artificial intelligence to promote open science through register-based research. Throughout his academic career, he has worked on various research projects that span significant time frames, contributing valuable insights into the interplay between statistical methods and real-world applications.
Umeå University • Umeå, Sweden
Engaged in research projects focusing on statistical models and machine learning applications.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.