Data Matters Seminar Series: Gamze Gürsoy

GAMZE GÜRSOY
Assistant Professor, Biomedical Informatics, Computer Science, Columbia University; Core Member, New York Genome Center

DISCUSSION LED BY
RITAMBHARA SINGH
Assistant Professor, Computer Science, Computational Biology, Brown University

ADDRESSING THE CHALLENGES OF PRECISION MEDICINE: PRIVACY, SHARING, AND ANALYSIS AT SCALE
Recent advances in biotechnology and medicine allow us to collect an immense amount of physiological, contextual, and biological data at the personalized and population level. This surge in data gives rise to a paradigm shift in biology and medicine towards data intensive discoveries. While this provides the perfect opportunity to study human genetics and disease, it also presents daunting challenges in maintaining the privacy of patients, secure sharing and movement of large data, and inferring medically actionable knowledge. Gürsoy’s lab aims to address these challenges by developing scalable computational tools to overcome privacy concerns associated with sharing and analyzing omics and clinical data. In this talk, Gürsoy will discuss an overview of these tools that are based on various techniques such as machine learning, homomorphic encryption, data sanitization, and blockchain technology.

Gamze Gürsoy , PhD, is a Core Faculty Member at the New York Genome Center and holds a joint appointment as Assistant Professor in the Departments of Biomedical Informatics and Computer Science at Columbia University. Her research focus is specializing in genetic data privacy, a critically important aspect of genomics research. She and her lab team develop software, file formats, and pipelines that enable broad data sharing among researchers while also preserving individual patient and study participant privacy.

Видео Data Matters Seminar Series: Gamze Gürsoy канала Data Science Institute, Brown University