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Jamie McCusker

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

ChatBS: A Context-aware LLM Exploratory Sandbox

ChatBS: A Context-aware LLM Exploratory Sandbox uses the OpenAI Completion API service (GPT-4-0613 model) to answer questions.

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 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.