Nasa Sinnott-Armstrong
Nasa is a researcher, artist, and teacher passionate about recentering community in scientific inquiry. They received a PhD in Genetics and MS in Environmental Global Health from Stanford University, and primarily use statistical, artistic, and experimental tools to understand environmental health. They are currently an Assistant Professor at Fred Hutchinson Cancer Center and University of Washington in Seattle.
- Joined
- 2022
- Interests
- art, science, open hardware
- ORCID
- 0000-0003-4490-0601
Corresponding author papers
- The genetic architecture of fibromyalgia across 2.5 million individuals Kerrebijn et al. 2026, Nature Medicine
- Genetic variants affect diurnal glucose levels throughout the day Sinnott-Armstrong et al. 2026, Nature Communications
- Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study Templin et al. 2026, PLOS Digital Health
- Large language model-based bibliometric evaluation of population descriptors in human genetics Gogarten et al. 2026, bioRxiv
- Lyme disease increases risk for multiple gynecological conditions Hansen Colburn et al. 2025, medRxiv
- Protect transgender scientists Sinnott-Armstrong et al. 2025, Science
- Framework for bias evaluation in large language models in healthcare settings Templin et al. 2025, npj Digital Medicine
- Social Factors of Health Covary with Population Stratification and Confound Heritability Estimates Liquori et al. 2025
- Addressing 6 challenges in generative AI for digital health: A scoping review Templin et al. 2024, PLOS Digital Health
- Understanding genetic variants in context Sinnott-Armstrong et al. 2024, eLife
- Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation Smith et al. 2022, bioRxiv
- GWAS of three molecular traits highlights core genes and pathways alongside a highly polygenic background Sinnott-Armstrong et al. 2021, Elife
- Evaluation of Group Testing for SARS-CoV-2 RNA Sinnott-Armstrong et al. 2020, medRxiv
- Reduced signal for polygenic adaptation of height in UK Biobank Berg et al. 2019, eLife
- Genetics of 38 blood and urine biomarkers in the UK Biobank Sinnott-Armstrong et al. 2019, bioRxiv