Daniel Abler

Daniel Abler is an experienced researcher and data scientist with a background in physics and a focus on medical imaging analysis and machine learning. Daniel has worked at various prestigious institutions such as HUG, CHUV, and Universität Bern, where Daniel has been involved in projects related to oncology and personalized healthcare. With a Ph.D. in Particle Physics from the University of Oxford, Daniel has a strong academic foundation that supports their work in developing predictive models for patient and disease phenotyping. In addition to their research roles, Daniel has also participated in training programs and projects aimed at improving health technology and data sharing in medical research.