Hande Mcginty is an Assistant Professor and researcher with nine years of experience applying data science and semantic web technologies to bioinformatics and food informatics. She holds a PhD in Computer Science from the University of Miami and has led ontology development for large NIH initiatives (LINCS, BD2K, IDG) and USDA-backed FoodData Central projects. Her work spans academia and industry, including research science and project leadership at Collaborative Drug Discovery where she advanced ontology-driven tools like OntoloBridge and Mixtures InChI. Hande combines methodological rigor—having introduced the KNARM approach to ontology construction—with practical AI/ML applications that bridge food and biological data. Based in Manhattan, Kansas, she often operates at the intersection of semantic modeling and machine learning to make complex biomedical and nutritional datasets interoperable and discoverable.
9 years of coding experience
12 years of employment as a software developer
B.Sc., Computer Engineering, B.Sc., Computer Engineering at Bilkent University
PhD, Computer Science, PhD, Computer Science at University of Miami
MS, Computer Science, MS, Computer Science at Eastern Michigan University
Contributions:1 release, 28 commits, 27 pushes in 11 months
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Hande Mcginty - Assistant Professor at Kansas State University