I have worked in the Danish Healthcare Sector for 10+ years, ultimately gaining my experience and expertise in Digital Health - facilitating Public-Private Partnerships to improve Research and Innovation - in the European Primary Health Care setting. From January 2021, I will function as Coordinator of the 'Finding Endometriosis using Machine Learning' (FEMaLe) project, which will develop and demonstrate a Scalable Multi-Omics Platform (SMOP) that converts multi-omic person population datasets into a personalised predictive model to improve intervention along the continuum of care for people with endometriosis. The FEMaLe project has been granted € 5.944.134,5 by the European Commission. Furthermore, I am going to take up a position as part-time PhD Fellow at the Research Unit for General Practice (FEAP) in Aarhus, Denmark, building upon the following COVID-19 funded Digital Health projects: "ReMoTe: Refining Remote Assessment in Primary Care during Covid-19" In May 2020, I - as Principal Investigator of the project - was granted DKK 4.3 million by the Innovation Fund Denmark to research into different aspects of video consultations in general practice. The grant was the first major investment in corona-related research in the primary healthcare sector. "CoronaLytics: A 360 degree mobile/wearable data household approach to guide shared precision health and decision-making during the COVID-19 epidemic" In June 2020, our interdisciplinary team was granted DKK 3.9 million by the Innovation Fund Denmark to combine and analyse health data obtained from citizens and their general practitioners during the first wave of the corona crisis. Outputs • 31 Peer Reviewed Publications and Dissemination Articles. • 18 Peer Reviewed Posters & 30 Oral Presentations, Workshops and Panels. • Fundraised 66,5 mio. DKK = 8,9 mio. EUR. Feel free to connect on LinkedIn: https://www.linkedin.com/in/ulrikkirk/