Claire Seibold has more than a decade of experience in math, data science, and software engineering. In addition to leading a team to design and build software and analytical pipelines at FYR, Claire is also an adjunct instructor at the University of Montana, teaching biostatistics to graduate and undergraduate students. Her experiences span projects with advanced machine learning algorithms, secure management of big data workflows, and implementation of bioinformatics pipelines. Her experience includes leading the fastest-known rollout of Psyche Systems LIS and its integration with numerous EHRs to support clinical testing services in under a year. Prior to FYR, Claire worked as an Implementation Consultant at a government software provider and then as a Data Scientist for a biotech startup breaking into epilepsy drug development. Claire earned her B.S. in Mathematics from the University of Portland with a publication in the Journal of Biomathematics, and an M.S. in Data Science from the University of Montana, where her thesis focused on machine learning algorithms to detect epilepsy in interictal EEG data.