My name is Andrew, and I'm a research software engineer working for CIDA in the Colorado School of Public Health.
I'm passionate about building software, models, and tools that enable high-quality health research, and so far I've been lucky enough to build a career doing just that.
- 🧬 Conducting analyses of biobank genomic data
- 📋 Developing NLP methods to extract relevant information from free-text EHR notes
- 🦠 Modeling the spread of COVID-19 and long-term effects of COVID-19 infections (Long COVID)
- 🫁 Building automated pipelines for lung radiomics (CT) imaging data
- 💻 Programming language design and implementation
- 📈 HPC and distributed computing systems
- 📱 Mobile App development (iOS/Flutter)
- 🎸 Tinkering with Guitar/MIDI/audio-related projects
- Ong, T. C., Hill, A., Kahn, M. G., Lembcke, L. R., Schilling, L. M., & Grannis, S. J. (2024). Linkability measures to assess the data characteristics for record linkage. Journal of the American Medical Informatics Association, 31(11), 2651-2659. DOI
- Hill, A. C., Guo, C., Litkowski, E. M., Manichaikul, A. W., Yu, B., Konigsberg, I. R., ... & Bowler, R. P. (2023). Large scale proteomic studies create novel privacy considerations. Scientific reports, 13(1), 9254. DOI
- Hill, A., Bowler, R., Kechris, K., & Banaei-Kashani, F. (2022, December). Semi-supervised embedding for scalable and accurate time series clustering. In 2022 IEEE International Conference on Big Data (Big Data) (pp. 942-951). IEEE. DOI
Thanks for dropping by!