Fostering the next generation of digital health researchers and professionals
The Digital Health Catalyst offers a programme of activities which provide early career researchers from academia and industry with exposure to a rich scientific environment, training, publishing assistance, networking, and more. We foster thinking outside the box and cross-disciplinary collaboration. By expanding the horizons of early career researchers, we hope to contribute to faster and better research in the next decade.
Our parent projects are Mobilise-D and IDEA-FAST, two ongoing EU Innovative Medicines Initiatives projects, which have recently joined forces to strengthen the research and development of digital biomarkers. Read more…
Early Career Researcher Steering Committee
Ashley is a PhD candidate at the University of Zurich. Prior to her PhD, she spent several years in industry as an innovation project manager, leading a team which focused on the testing and implementation of patient-facing technologies in clinical trials. Her background in biomedical engineering, user-centric product design, digital transformation, and medical research fueled her interest in developing digital, real-world measures of health. This led her to the Mobilise-D project. In Mobilise-D, Ashley coordinates the Swiss COPD cohort, the ECR steering committee of the Digital Health Catalyst, and the project’s ongoing literature reviews.
Sara is a research physiotherapist working at Imperial College London. She is working on the Mobilise-D project in one of the UK COPD cohort studies. At the same time, she is completing her PhD, which focuses on improving patient selection and outcomes for Lung Volume Reduction therapies in COPD. Other research interests include physical activity, pulmonary rehabilitation and patient experience.
Felix leads the “Digital Health – Gait Analytics” group at the Friedrich-Alexander-University Erlangen-Nürnberg, Germany. His research motivation is the improvement of patients’ quality of life by developing new digital technologies to early diagnose diseases, predict interventional outcomes and model disease progression. Hereby, he aims to develop wearable technology to assess health using real-world monitoring systems.