I'm Paul Greenwood, a multidisciplinary data scientist, full stack developer, and product manager with a strong foundation in biomedical informatics, currently pursuing my Master of Professional Science in Biomedical Health Informatics at UNC Chapel Hill.
- AI & ML: Generative AI, Advanced Prompt Engineering, LLMs, MCP, Machine Learning, NLP
- Programming: Python, SQL, R, Julia, Java, C#, Bash
- Data Science: Data wrangling, visualization (matplotlib, seaborn, Plotly), analytics
- Healthcare: FHIR, Electronic Health Records, Healthcare Analytics
- Scientific Computing: Slurm, Docker, Singularity, Conda
- Web & DevOps: WordPress (Admin & Developer), Git, CI/CD pipelines
- Project Management: Jira, Monday.com, ePro, RASR
- Languages: English (native), Norwegian, Swedish, Danish
- Leading development of data-driven products in biomedical research
- Implementing AI-driven predictive models for healthcare analytics
- Managing complex research data pipelines and workflows
- Developing scalable solutions using machine learning and NLP techniques
- Product Manager & Developer at UNC Chapel Hill (Feb 2023–Present)
- Project Manager managing 20+ concurrent research projects (Mar 2020–Feb 2023)
- Program Coordinator for EHR and precision analytics initiatives (Jun 2019–Mar 2020)
- Published researcher in Nature (SARS-CoV-2 treatment research)
- Master of Professional Science, Biomedical Health Informatics, UNC Chapel Hill (2021–2025)
- Bachelor of Arts, English, UNC Chapel Hill (2008–2010, 2016–2017)
- Additional Coursework: Chemistry (UNCG), Computer Science (University of Bergen, Norway), Linguistics (University of Oslo, Norway)
- Capstone Project: AI-driven predictive model for healthcare analytics using Python, SQL, and machine learning to forecast patient outcomes and optimize treatment plans
- Managing genetics data pipelines (NCGenes) and research data repositories
- Developing healthcare applications using FHIR standards
I'm open to collaborating on:
- Biomedical informatics and healthcare technology projects
- Data science and machine learning research
- Scientific computing and research data management
- Open-source healthcare and research tools
Voracious reader • Backcountry skiing • Hiking • Camping • Cooking • Acoustic guitar