Jamie McCusker

Jamie McCusker
Director, Data Operations - TWC, HEALS
Email: mccusj2@rpi.edu
Twitter: https://twitter.com/jpmccu

Jamie McCusker works on Biomedical Semantics. Her current interests are data and provenance interoperability in life sciences. She has worked as a software developer for 11 years in bioinformatics, high performance computing, data mining, natural language processing, and supply chain auditing.

Interests: Health informatics, Provenance, Ontology, Knowledge Graph, Data Science, Semantic Web
Affiliations: Tetherless World Constellation, Rensselaer Polytechnic Institute

Projects as Research Staff

The Center for Health Empowerment by Analytics, Learning, and Semantics (HEALS) is a five-year collaboration between Rensselaer and IBM aimed at researching how the application of advanced cognitive computing capabilities can help people to understand an

In 2019 the Human Health Exposure Analysis Resource (HHEAR) Data Center was established by NIEHS as a continuation of the CHEAR Data Center expanding to include health outcomes at all ages.

Whyis is a nano-scale knowledge graph publishing, management, and analysis framework. Whyis aims to support domain-aware management and curation of knowledge from many different sources. Its primary goal is to enable creation of useful domain- and data-driven knowledge graphs.

Our evolving semantics=driven data resource, named NanoMine, is an open access, user friendly, living, growing, data resource for the polymer nanocomposites community that is scalable and enables improved understanding of processing – structure - property relationships and thus facilitates faster

The aim of the Semantic Data Dictionary (SDD) approach is to annotate datasets such that it is machine readable, uses best practice ontologies, and follows FAIR Guiding Principles.

Selected Publications

Selected Presentations