About
Our research team is part of the Dept of Biomedical Data Sciences at LUMC, conducting leading research and delivering high-quality education
A section of the department, the Advanced Data Management (ADM), is a knowledge center in the area of research data management and data stewardship. ADM offers support on all aspects of data management in clinical research and contributes to new developments in this area. FAIR data, Good Research Practice (GRP) and safe processing of personal data are important principles in this process.
Researchers
Liesbeth de Wreede
Assistant Professor
I am a biostatistician specialized in survival analysis. I work both in methods development (multi-state models, missing data, relative survival) and in collaborative studies, mainly in the field of hematopoietic stem cell transplantations but also in oncology, especially advanced melanoma.
Frank Doornkamp
PhD Student
I am a PhD student at the Biomedical Datascience department of Leiden University Medical Center. My primary role in the project will be to evaluate the incremental value of novel markers in decision-making for women with breast cancer.
Toby Hackmann
PhD Student
I am a PhD student at the Biomedical Data Science department of the LUMC. My area of research will be prediction modelling for Melanoma patients. The focus will be both on survival outcomes, as well as quality of life. The resulting models will be used to support the shared decision making.
Lifeng Han
Researcher
I am from computing and natural language processing (NLP) background and interested in NLP for healthcare. My role in the project will be how to extract clinical events and build rational on them, as well as link such events to exiting clinical terminology knowledge base for better retrieval.
Ellen Kapiteijn
Senior researcher/medical oncologist/associate professor
I am a medical oncologist treating mainly melanoma patients. My research focuses on real-life data, TIL-therapy and new treatments in uveal melanoma.
Marleen Kunneman
Assistant Professor
I am a clinical linguist and decision scientist with an interest in patient-clinician interaction and collaboration, and the extent to which care plans fit in people’s lives. My role in the project will be to evaluate the use of MetroMapping in clinical practice.
Ewout Steyerberg
Professor & Chair of department
I am a methodological researcher primarily interested in prediction research. I develop and apply advanced regression analysis and related techniques. My methodological areas of interest include biostatistics, cost-effectiveness, decision analysis.
Anne Stiggelbout
Professor of Medical Decision Making
I am a methodological researcher, interested in the role of patient preferences in decision making, shared decision making, and value-based healthcare. I am Co-PI of 4D-picture, and PI of the Policy work package. I am also the lead of the evaluation of Metro Mapping in the NL, ES and DK.
Suzan Verberne
Associate professor
I am an associate professor at the Leiden Institute of Advanced Computer Science. My main interest is interactive information access for specific domains, of which the health domain is a prominent one. In the project I will supervise the development of text mining methods for patient experiences.
Michel W.J.M. Wouters
Surgical Oncologist, Professor Quality of Cancer Care
I am a surgical oncologist specialized in the treatment of advanced melanoma and prof quality of cancer care in the Leiden University Medical Center, with a special focus on data-driven improvement of patient outcomes. In 4Dpicture I am involved in WP2 to develop decision support for melanoma patients.
