Personal profile
Research interests
Currently I work as lead data architect for the Heart Centre of the Amsterdam UMC. My background is a PhD in Human Movement Sciences and postmaster in Data Science. Additionally, I've helped to set up the National Data & Analytics Platform for Sports and performed (un)supervised machine learning analyses in elite sports.
In my role I will set up a data platform and combine various data sources (e.g. EHR EPIC, lab results, pharmacy, ultrasound, ECG, MRI, exercise testing). For one day a week, I also work at the Business Intelligence department and can facilitate data requests for healthcare evaluation or scientific research.
Feel free to reach out if you have any questions on data extractions, integrating data sources or data science / analytics.
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Collaborations and top research areas from the last five years
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Beyond Playing Positions: Categorizing Soccer Players Based on Match-Specific Running Performance Using Machine Learning
de Haan, M., van der Zwaard, S., Sanders, J., Beek, P. J. & Jaspers, R. T., 2025, In: Journal of sports science & medicine. 24, 3, p. 565-577 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Classifying Soccer Players Based on Physical Capacities and Match-Specific Running Performance Using Machine Learning
de Haan, M., van der Zwaard, S., Sanders, J., Beek, P. J. & Jaspers, R. T., 1 Dec 2025, In: Journal of sports science & medicine. 24, 4, p. 764-778 15 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Estimating vastus lateralis muscle volume from a single ultrasound image
Eggelbusch, M., Weide, G., Tieland, M., Vergeer, R. N., Vos, L., van den Helder, J., van der Zwaard, S., Jaspers, R. T., Weijs, P. J. M. & Wüst, R. C. I., 1 Dec 2025, In: Scientific reports. 15, 1, 30186.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile28 Downloads (Pure) -
Predicting Cycling Performance Before and After Training: Insights From Machine Learning Using Small Samples
Vos, L., Vergeer, R. N., Goulding, R. P., Weide, G., de Koning, J. J., Jaspers, R. T. & van der Zwaard, S., 2025, In: APPLIED ARTIFICIAL INTELLIGENCE. 39, 1, 2565167.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile22 Downloads (Pure) -
Sex-specific performance of electrocardiographic criteria for left ventricular hypertrophy in elite athletes
van Diepen, M. A., Daems, J. J. N., Verwijs, S. M., van Hattum, J. C., Boekholdt, S. M., van Randen, A., Planken, R. N., Moen, M. H., van der Zwaard, S., Bijsterveld, N., Kors, J. A., Postema, P. G., Wilde, A. A. M., Asselbergs, F. W. & Jørstad, H. T., 2025, (E-pub ahead of print) In: Heart rhythm.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile30 Downloads (Pure)
Prizes
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2nd Best Doctoroal Thesis Award in Sports Medicine
van der Zwaard, S. (Recipient), 28 Nov 2019
Prize › Academic
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Beste Doctoral Thesis in Movement Sciences
van der Zwaard, S. (Recipient), 29 Mar 2019
Prize › Academic
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