Marsh Königs (1987) is assistant professor in developmental neuroscience at Emma Children’s Hospital of Amsterdam UMC. He is educated in Biomedical Sciences (BSc), Cognitive Neuropsychology (MScRes, cum laude) and Clinical Neuropsychology (MSc, cum laude). Marsh obtained his PhD degree (2016, cum laude) for his research on the impact of pediatric traumatic brain injury on brain structure, neurocogition and behavior. He has completed the supervision of 2 PhD candidates and currently supervises 7 PhD candidates and 1 assistant professor.

Dr. Marsh Königs is active in the fields of clinical neuroscience and data-driven health care innovation. Together with prof. dr. Jaap Oosterlaan, Marsh is co-lead of the Emma Neuroscience Group, which investigates the impact of disease and treatment on the brain of children and young adults in the context of daily life. Marsh is also affiliated to Follow Me, an ambitious program that develops and implements structured outpatient care for all tertiary care patients at the Emma Children’s Hospital of Amsterdam UMC with the ambition to improve clinical follow-up, support data-driven health care evaluation, facilitate clinical research to improve clinical care, and educate the future generation of health care professionals.

Neuroscientific outcome measurement
This research line is aimed at determining the impact of disease and treatment on the brain, by development and application of neuroscientific outcome measurements. Assessments cover neurocognitive functioning in children and adults (e.g. the in-house developed ‘Emma Toolbox for Neurocognitive Functioning’), advanced analysis of neurocognitive test performance (e.g. neurocognitive networks), structural and functional brain networks (e.g. DTI resting-state fMRI), and early neurocognitive functioning in babies and infants (e.g. eye-tracking).   

Clinical outcome prediction for precision medicine
This research line is aimed at better prediction of patient outcome, contributing to the transition towards precision medicine by improving clinical outcome prediction. Together with prof. dr. Mark Hoogendoorn & dr. Frank Bennis, we investigate the added value of machine learning models for clinical outcome prediction. We are also developing a machine learning pipeline optimized for high-dimensional data.

Data-driven health care innovation
This research line aims to innovate health care using structured clinical data, by integrating care, evaluation and scientific research using structured care paths. This work is focused on the development of structured multidisciplinary clinical (follow-up) programs that make use of structured electronic clinical registration and integrate with other clinical data sources (e.g. medical devices, patient reported outcome measurements). Consequently, the structured clinical data flows into rich and ever-accumulating databases that are re-used for care evaluation and scientific research aimed at data-driven care innovation. The Emma Children's Hospital Follow Me programis the blueprint for this work. 

Valorisation
Marsh is member of the national work group “Hersenletsel and Jeugd” and acts as expert consultant for the Dutch Health Council (committee on brain injury in sports). He has active collaborations with AFC Ajax and the Royal Dutch Football Association (KNVB), where he supervises Concussion Management. Together with the KNVB, he also initiated a Concussion Clinic for persisting symptoms after sport-related concussion, where he supervises research activities. Marsh is also responsible for the Health Intelligence Program at the Daan Theeuwes Center for Intensive Neurorehabilitation, where he supervises care evaluation and scientific research.

Neuroscience, Pediatrics, Traumatic Brain Injury, Data-driven health care innovation, Health intelligence