Ellie Galliker
Ellie Galliker
Student / Programme Doctorate at D-HEST
Additional information
Research area
My research project addresses the clinical need for more personalized and improved management of bone health, through the development of a digital health biomarker to assess skeletal (biological) ageing in collaboration with the Yonsei University. We call this digital technology the skeletal ageing phenotype (SAP) score, as it supports clinical decision by improving the identification of patients that are at risk of developing fractures and predicting patient-specific response to pharmacological (drug) treatment. This novel technology builds on recent innovations in the cross-cutting research capabilities of artificial intelligence to predict health outcomes, and computer simulations to understand mechanisms of bone frailty.
Additional information
- BSc and MSc in Health Sciences and Technology at ETH Zürich, with focus on Medical Technology (2015-2021)
- Master thesis: “The Influence of Fall Direction and Hip Protector on Fracture Risk: FE Model Predictions Driven by Experimental Data”
https://link.springer.com/article/10.1007/s10439-022-02917-0 - 3 years of experience in industry: modelling and simulation engineer at DePuy Synthes, Johnson & Johnson (2021-2023)