Hande Küçük McGinty, PhD

Hande Küçük McGinty, PhD

Assistant Professor, Department of Computer Science
Kansas State University

 

Hande Küçük McGinty received her bachelor’s degree in computer engineering at Bilkent University in 2007 and her master’s degree in computer science at Eastern Michigan University in 2010. She worked as a researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany, before she finished her doctoral degree in computer science from the University of Miami in Coral Gables, Florida. She worked with the USDA at Ohio University before joining the computer science department at K-State in 2022. McGinty has a long history of working with interdisciplinary teams. Her most recent research focuses on food, agriculture and bio-ontologies and their applications for artificial intelligence and machine learning.

Maximizing Data Value for Biopharma through KARMA and FAIR+Q

Over recent years, there has been exciting growth in collaboration between academia and industry in the life sciences to make data more Findable, Accessible, Interoperable and Reusable (FAIR) to achieve greater value. FAIR data implementation could be enabled using knowledge graphs. In this talk we will talk about some of the methods, such as KNowledge Acquisition and Representation Methodology (KNARM) and its applications (KARMA) can be deployed alongside assessment of data quality to maximize the value of data generated from research, clinical trials, and real-world healthcare data, which are essential for the discovery and development of new medical treatments by biopharma.