Personal profile
Biography
Malin Overmars, PhD is a postdoctoral researcher in the Vascular Cognitive Impairment (VCI) group (PI: Prof. Geert Jan Biessels) within the Department of Neurology & Neurosurgery, University Medical Center Utrecht. She holds a BA in Communication and Information Sciences (University of Groningen) and an MSc in Data Science (Tilburg University). In 2024 she completed her PhD, Big Data, Small Vessels, which presented case studies showing how pattern-recognition methods applied to large biomedical datasets—including routine care data and proteomics—can help characterize and subtype cardiovascular disease.
Her current work focuses on vascular cognitive impairment, developing interpretable, data-driven approaches for personalized diagnostics and patient subtyping by integrating MRI, blood-based biomarkers, and routine clinical data. Methodologically, she works with Bayesian networks, machine learning, natural language processing, and clustering.
She is part of the national consortia TAP-Dementia (ZonMW) and Heart–Brain Connection (Dutch Heart Foundation) and contributes to open, reproducible research by sharing code and workflows on GitHub. She also publishes accessible blogs about her research for a broader audience on Substack.
Education/Academic qualification
MSc Data Science, Tilburg University
1 Sept 2018 → 1 Sept 2019
Award Date: 1 Sept 2019
BA Communication and Information Sciences, University of Groningen
1 Feb 2015 → 1 Feb 2018
Award Date: 1 Jun 2019
Keywords
- QA75 Electronic computers. Computer science
- Data Science
- Machine Learning
- Electronic Health Records
- Algorithms
- Clinical Decision Support
- R Medicine (General)
- Cardiovascular Disease
- Cerebral Small Vessel Disease
- Cerebrovascular disease
- Hematology
Collaborations and top research areas from the last five years
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A Wolf in Sheep's Clothing: Reuse of Routinely Obtained Laboratory Data in Research
Overmars, L. M., Niemantsverdriet, M. S. A., Groenhof, T. K. J., De Groot, M. C. H., Hulsbergen-Veelken, C. A. R., Van Solinge, W. W., Musson, R. E. A., Ten Berg, M. J., Hoefer, I. E. & Haitjema, S., Nov 2022, In: Journal of Medical Internet Research. 24, 11, e40516.Research output: Contribution to journal › Review article › peer-review
Open AccessFile10 Downloads (Pure) -
A cluster of blood-based protein biomarkers reflecting coagulation relates to the burden of cerebral small vessel disease
Kuipers, S., Overmars, L. M., van Es, B., de Bresser, J., Bron, E. E., Hoefer, I. E., Kappelle, L. J., Teunissen, C. E., Biessels, G. J. & Haitjema, S., 1 Jul 2022, In: Journal of Cerebral Blood Flow and Metabolism. 42, 7, p. 1282-1293 12 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Downloads (Pure) -
Preventing unnecessary imaging in patients suspect of coronary artery disease through machine learning of electronic health records
Overmars, M., van Es, B., Groepenhoff, F., de Groot, M., Pasterkamp, G., den Ruijter, H. M., van Solinge, W. W., Höfer, I. & Haitjema, S., Mar 2022, In: European Heart Journal - Digital Health. 3, 1, p. 11-19 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Citations (Scopus)8 Downloads (Pure) -
Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon
Messelink, M. A., Roodenrijs, N. M. T., van Es, B., Hulsbergen-Veelken, C. A. R., Jong, S., Overmars, L. M., Reteig, L. C., Tan, S. C., Tauber, T., van Laar, J. M., Welsing, P. M. J. & Haitjema, S., 8 Jul 2021, In: Arthritis Research and Therapy. 23, 1, p. 1-10 184.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile14 Downloads (Pure) -
Cardiovascular imaging of women and men visiting the outpatient clinic with chest pain or discomfort: design and rationale of the ARGUS Study
Groepenhoff, F., Eikendal, A. L. M., Bots, S. H., van Ommen, A.-M., Overmars, L. M., Kapteijn, D., Pasterkamp, G., Reiber, J. H. C., Hautemann, D., Menken, R., Wittekoek, M. E., Hofstra, L., Onland-Moret, N. C., Haitjema, S., Hoefer, I., Leiner, T. & den Ruijter, H. M., 15 Dec 2020, In: BMJ Open. 10, 12, p. 1-7 e040712.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile9 Downloads (Pure)
Activities
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Individualized risk prediction for cognitive decline and cardiovascular events in VCI: A Bayesian Network Approach
Overmars-Habermehl, M. (Speaker)
17 Sept 2025Activity: Talk or presentation › Oral presentation › Academic
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Finding the Clinical Trails of Cognitive Impairment in Heart Failure by Text Mining of Letters from Routine Care
Overmars, M. (Speaker)
24 Jun 2024Activity: Talk or presentation › Oral presentation › Academic
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8th Translational Cardiovascular Research Meeting
Overmars, M. (Invited speaker)
20 Jun 2024Activity: Participating in or organising an event › Participation in conference › Academic
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AI kan diagnose en behandeling hart- en vaatziekten verbeteren
Overmars, M. (Speaker)
11 Mar 2024Activity: Other › Types of Public engagement and outreach - Media article or participation
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Resultaat van de maand: data-onderzoeker Malin Overmars
Overmars, M. (Speaker)
7 Mar 2024Activity: Other › Types of Public engagement and outreach - Media article or participation
Press/Media
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AI kan diagnose en behandeling hart- en vaatziekten verbeteren
11/03/24
1 Media contribution
Press/Media: Public Engagement Activities
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Resultaat van de maand: data-onderzoeker Malin Overmars
7/03/24
1 Media contribution
Press/Media: Public Engagement Activities