Jinjoo Shim is a Ph.D. candidate and doctoral student at the Center for Digital Health Interventions at ETH Zurich. Her doctoral research focuses on developing digital biomarkers of aging and systemic inflammation by applying advanced statistical methods and machine learning to wearable-derived accelerometer data, and noninvasive inflammatory biomarker techniques. She is passionate about advancing precision medicine through innovative applications in digital health and biomarker research, integrating expertise across medicine, AI/ML, statistics, data science, and ubiquitous computing.
Jinjoo holds an M.S. in Biostatistics from Columbia University. Before joining ETH Zurich, she worked as a Senior Data Scientist at Roche Pharmaceuticals in Switzerland and as a Data Analyst/Biostatistician at PrecisionHEOR and Columbia University Medical Center. She has contributed to a wide range of clinical and non-clinical research projects, including personalized healthcare, real-world evidence, cancer epidemiology, cost-effectiveness, health economics, patient outcomes, and regulatory guidelines. Her work leverages large-scale, multi-modal datasets such as national-level claims, electronic health records, registries, and omics data to deliver actionable insights and advance healthcare innovation.