Stu Field is a Director of Data Science with nearly a decade of industry experience and 14+ years applying machine learning to biomarker discovery and proteomics. He combines deep domain expertise in life sciences and experimental design with hands-on engineering—R package development, CI/CD, Docker, and reproducible research—to translate complex multi-omics signals into actionable diagnostics and product strategy. At SomaLogic/SomaScan he led predictive modeling and built validated, reproducible analytics pipelines, and now runs data science strategy and team growth at Cercle, aligning models with business impact and governance. Trained as an evolutionary ecologist with a PhD, he brings a quantitative, hypothesis-driven mindset to ML work and thrives in interdisciplinary teams where storytelling and context matter as much as code.
9 years of coding experience
12 years of employment as a software developer
Doctorate, Evolutionary Ecology/Disease, Doctorate, Evolutionary Ecology/Disease at Westfälische Wilhelms-Universität Münster
Bachelor of Environmental Sciences, Ecology, Evolution, Systematics, and Population Biology, Bachelor of Environmental Sciences, Ecology, Evolution, Systematics, and Population Biology at University of Guelph
The SomaDataIO package loads and exports 'SomaScan' data via the 'SomaLogic Operating Co., Inc.' proprietary data file, called an ADAT ('*.adat'). The package also exports auxiliary functions for manipulating, wrangling, and extracting relevant information from an ADAT object once in memory.
Contributions:7 releases, 8 reviews, 111 commits in 2 years 4 months
adatproteomicsproteomics-data-analysisrr-package
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