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Ludvig Lizana works at the intersection of cell biology and physics, focusing on gene regulation, epigenetics, aging, and 3D folding of chromosomes. His research group at IceLab develops mechanistic models that integrate diverse datasets to understand biological systems. These models merge traditional statistical methods with machine-learning techniques to identify cause-and-effect relationships within biological processes. By combining datasets from genomics and proteomics, Lizana aims to provide reliable predictions about biological systems' functions, offering insights into the underlying mechanisms at play in life sciences. He teaches both undergraduate and PhD-level courses that span modeling, communication, and career development for scientists. His courses are designed to bolster the skills necessary for success in academia, including science writing, grant applications, and strategic career planning.
Umeå University • Umeå, Sweden
Associate professor leading research on statistical physics of living systems.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.