About me
Christopher Lee
PhD candidate · Computer Science · University of South Carolina
AI/ML engineer and computer science PhD candidate at the University of South Carolina, applying machine learning to biomedical, public-health, and research data.
Education
PhD, Computer Science
University of South Carolina
Expected 2026
MS, Computer Science
University of South Carolina
2024
BS, Biology
University of South Carolina
2010
Experience
AI/ML Engineer
Artificial Intelligence Institute, University of South Carolina
- Design, build, and deploy production AI applications and research platforms for faculty and researchers.
- Lead applied machine learning and LLM projects end to end, spanning natural language processing, computer vision, and automated literature review.
- Architect secure, privacy-preserving AI infrastructure, including self-hosted large language models.
2025 – present
Graduate Research Assistant
University of South Carolina
- Applied machine learning and deep learning to complex biomedical and population-health datasets.
- Built predictive and classification models for bioinformatics, epidemiology, and neuroscience.
- Worked with faculty, clinicians, and research teams to shape questions, design analyses, and interpret results.
- Contributed to manuscripts, grant proposals, and conference presentations.
2021 – 2025
Executive Director (started as Patient Coordinator)
Columbia Oral Health Clinic
- Led a federally funded nonprofit dental clinic: operations, budgeting, and grants.
- Built partnerships with hospitals, providers, and community organizations to coordinate patient care.
2012 – 2019
Skills
Technical Python · R · SQL · PyTorch · scikit-learn · pandas · NumPy · Jupyter · Git
Data & research Machine learning · Deep learning · Predictive modeling · Statistical analysis · Experimental design · Model evaluation · Data wrangling
Publications
Frontiers in Public Health 14, 2026
Frontiers in Molecular Biosciences 12, 2026
Filling the gap: establishing a statewide tick and tick-borne pathogen surveillance program
Insects 17(4), 414, 2026
Zenodo, 2026
Evaluation of the 2022 West Nile virus forecasting challenge, USA
Parasites & Vectors 18, 152, 2025
PLoS ONE 18(9), e0290873, 2023
Acta Tropica 242, 106909, 2023