Skip to main content

Jamie McCusker

Portrait of Jamie McCusker
Director, Data Operations - TWC
Ph.D. 2014
WebSig: A Digital Signature Framework for the Web
Advisor: Deborah McGuinness

Email: mccusj2@rpi.edu
Twitter: https://twitter.com/jpmccu
View publications View presentations

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.

Find me on Mastodon.


Affiliations: Tetherless World Constellation, Rensselaer Polytechnic Institute

Projects as Research Staff

Technical and Legal Aspects of Regulating Generative AI

Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are rapidly transforming the way we communicate, illustrate, and create.

Health Empowerment by Analytics, Learning, and Semantics (HEALS)

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 and improve their own health conditions.

Human Health Exposure Analysis Repository (HHEAR)

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

Whyis is a provenance-aware 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.

NanoMine: Ontology-Enabled Polymer Nanocomposite Open Community Data Resource

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

Projects as Research Assistant

The Human-Aware Data Acquisition Infrastructure (HADatAc)

HADatAc (Human-Aware Data Acquisition framework) is an open-source infrastructure that enables combined acquisitions of data and metadata in a way that metadata is properly and logically connected to data.