Generate a tailored SOP for Dr. Tetiana Gorbach. Improve your application with a focused, well-structured draft.
Tetiana Gorbach's research focuses on developing statistical methods for analyzing missing data, specifically in the context of cognitive aging and dementia research. She is also involved in causal inference studies. Currently, she works as an Associate Professor at Umeå University, where she leads projects aimed at addressing selection bias in aging studies and utilizes machine learning to draw valid statistical conclusions from large datasets. With funding from various grants, including a significant contribution from the Marianne and Marcus Wallenberg Foundation, her work contributes to advancing statistical methodologies in applied research settings.
Umeå University • Umeå, Sweden
Teaching and conducting research in statistics, focusing on missing data and causal inference.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.