Lotte Geys
Lotte Geys has a background in biomedical sciences. She defended her PhD in 2017 at the University of Leuven and started working as clinical data manager afterwards. Since December 2019, she is working for the research group of Biomedical Data Sciences under supervision of Prof. Liesbet Peeters where she is currently employed as postdoctoral researcher.
Lotte has a bridgebuilding role between the worlds of biomedical sciences and data sciences and has expertise in governance and contract management when it comes to reuse of real-world health data for research.
Publications
COVID-19 in people with multiple sclerosis: A global data sharing initiative
Associations of DMT therapies with COVID-19 severity in multiple sclerosis
The MSDA Catalogue: enabling web-based discovery of metadata from real-world multiple sclerosis data sources
A national representative, cross-sectional study by the Hellenic Academy of Neuroimmunology (HEL.A.NI.) on COVID-19 and Multiple Sclerosis: overall impact and willingness towards vaccination
Severity of COVID19 infection among patients with multiple sclerosis treated with interferon-β
Updated results of the COVID-19 in MS Global Data Sharing Initiative: anti-CD20 and other risk factors associated with COVID-19 severity
Patient-level dataset to study the effect of COVID-19 in people with Multiple Sclerosis
The journey of data within a Global Data Sharing Initiative: A federated three-layer data analysis pipeline to scale up multiple sclerosis research
Introducing a core dataset for real-world data in multiple sclerosis - recommendations from a global task force
Strategic Oversight Across Real-World Health Data Initiatives in a Complex Health Data Space: A call for collective responsibility