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Hatice Ulku Osmanbeyoglu is an academician in the Department of Computational and Systems Biology at the University of Pittsburgh. Her research focuses on extracting biological insights into disease mechanisms through the analysis of multiomics data and single-cell, spatially resolved data. By leveraging machine learning techniques alongside prior scientific knowledge, she aims to understand cellular processes at the molecular level. Her main objective is to elucidate the processes that become dysregulated in various diseases, particularly cancer. She is also dedicated to developing open-source tools that facilitate broader scientific exploration in her research endeavors.
University of Pittsburgh • Pittsburgh, PA, USA
Involved in research and teaching within the Department of Computational and Systems Biology.
The Statistics MS program focuses on mathematical statistics and applied statistics.