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Hoomaan Maskan is a Doctoral student at Umeå University, specializing in Mathematical Programming and Statistical Learning. His research focuses on Compressive Sensing, Sparsity, and Inference from Spatio-Temporal Data. Hoomaan is associated with various research groups and contributes to projects that aim to advance the understanding of statistical methodologies in complex data environments. He is expected to complete his studies in August 2024 and has been involved in research activities since September 2019, honing his skills in analytical techniques and innovative computational approaches within mathematics and statistics.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.