Stuart Hagler

* Developed and deployed end-to-end Natural Language Processing (NLP) pipeline for extraction of unstructured clinical built around rule-based NLP engine. Developed rule-based queries for projects investigating AML, Breast Cancer, and COVID-19.
* Developed and deployed software and metrics to measure drug targetability for cancer medications using publicly available structured drug and pathway data.
* Developed NLP pipeline for extracting unstructured clinical data built around an open-source Large Language Model (LLM) prompted through LMQL using a high performance computing cluster.
* Developed graph neural network (GNN) to generalize from structured drug-target interaction data in order to enable drug discovery.
* Familiar with electronic health records (EHR), protected health information (PHI) and HIPAA, and biomedical ontologies (ICD-O, LOINC, MeSH, SNOMED CT, etc.)
* Participated in institutional Data Standards and Data Curation Working Groups.
* Communication skills: wrote or contributed to published papers and internal documents, prepared and delivered presentations related to data science projects.

* Developed algorithms for remote monitoring of patient cognitive performance using simple computer games.
* Communication skills: wrote or contributed to published papers.

* Developed algorithms for remote monitoring of patient cognitive performance using measurements of computer mouse movements.
* Developed algorithms for remote monitoring of patient cognitive performance using simple computer games.
* Communication skills: wrote or contributed to published papers and internal documents, prepared and delivered presentations related to data science projects.

* Developed algorithms for remote monitoring of patient cognitive performance using a variety of sensors placed in the home.
* Developed algorithms to measure patient motor performance using using a variety of sensors used within a laboratory setting.