Een freelancer zoeken Een project indienen
Malt welcom

Welkom op het Malt-profiel van Benny!

Met Malt heb je toegang tot de beste freelance consultants voor jouw opdrachten. Neem contact op met Benny om te vertellen waaraan je behoefte hebt of zoek andere profielen op Malt.

Benny Van Der Vijgh Phd

Data scientist, gespecialiseerd in gezondheidszorg

Thuiswerken vanuit Utrecht

  • 52.09153
  • 5.11733
  • Indicatief tarief € 800 / dag
  • Werkervaring 7+ jaar
Een opdracht voorstellen De opdracht kan alleen van start gaan nadat je de offerte van Benny hebt geaccepteerd.

Deze freelancer heeft aangegeven parttime beschikbaar te zijn, 2 dagen per week, maar heeft dit meer dan 7 dagen niet meer bevestigd.

Parttime , 2 dagen per week

Een opdracht voorstellen De opdracht kan alleen van start gaan nadat je de offerte van Benny hebt geaccepteerd.

Locatie en reizen

Locatie
Utrecht, Nederland
Thuiswerken
Voert zijn of haar opdrachten voornamelijk op afstand uit

Voorkeuren

Sector
  • Biotechnologie
  • Gezondheid & Wellness
  • Medische sector
  • Onderwijs & e-learning
  • Onderzoekscentra
+1 andere

Checklist

Malt-handvest ondertekend
Het handvest bekijken

Geverifieerd e-mailadres

Talen

  • Nederlands

    Tweetalig / moedertaal

Categorieën

Vaardigheden (10)

Benny in het kort

Multidisciplinair geschoolde en technisch sterk onderlegde data scientist en neurowetenschapper. Geruime ervaring met (klinisch) onderzoek, analyse en modeleren van data, en dit omzetten in bruikbare applicaties. Hecht veel waarde aan het gebruiken van de juiste analysemethode, zodat deze aansluit bij zowel de eigenschappen van de data als bij de vraagstelling. Bovenal zeer veel ervaring met data in de gezondheidszorg (bijv. fysiologische of neurologische data als EEG of fMRI data, BCI's, of data aangaande ziekteverloop), maar ook in andere domeinen (bijv. bezoekersstatistieken of visuele data). Sterke achtergrond in programmeren, ook wat betreft ontwikkeling van software geclassificeerd als medisch hulpmiddel onder de MDR.
Geïntrigeerd door de grensvlakken tussen onderzoek en behandeling, en psychologie en neurowetenschap, daarom ook werkzaam als senior onderzoeker en psycholoog binnen de GGZ. Heb een georganiseerde en empathische aanpak, met oog voor detail.

Werkervaring

Altrecht

Scientist-practitioner

december 2019 - Vandaag (2 jaren en 8 maanden)

UMC Utrecht

Postdoc

Utrecht, Netherlands

mei 2017 - maart 2019 (1 jaar en 10 maanden)

Postdoctoral researcher in the lab of Nick Ramsey and the RIBS group. Activities concern data analysis of EEG, ECoG, fMRI and physiological signals, designing and developing medical software, and project management. Amongst other projects I worked on the Utrecht NeuroProsthesis (UNP) and Neuroshirt projects. In the UNP severely paralysed patients are implanted with ECoG electrodes. Cortical activity at these electrode sites is measured and classified into actions that can be performed on a tablet using custom-made software. This BCI allows the patients to communicate with their surroundings. Within the project I'm involved with both data-analysis and software design and development. Data analysis of the ECoG and peripheral signals is aimed at improving the classification and gaining insight in the processes underlying the measured signals. New insights that improve the classification are then implemented by me in our custom-made software (C#), to allow online classification at the patients' home. In the Neuroshirt project a novel tactile shirt is developed. The shirt aims to inform neurosurgeons on the distance and position of the drill relative to critical structures that need to be evaded, such as nerves and blood vessels, when drilling through bone. By using the tactile modality we aim to relay information to the neurosurgeon more efficiently, as the visual and auditory modalities are already used extensively during surgery. As project coordinator I aim to keep the development of Neuroshirt on track, while as a researcher I'm involved in the research associated with the development of the shirt.

Universiteit Utrecht

PhD

Utrecht, Netherlands

oktober 2010 - juli 2016 (5 jaren en 9 maanden)

We first conducted a meta-analysis on the effect of digital stressors characteristics on physiological stress responses. Using mixed-model regression analyses on 48 studies containing almost 4000 subjects we found that small differences in stressor characteristics can have far larger effects on the measured physiological response than was previously known. Based on these findings we designed, developed and verified a new stressor application, called GASICA. This system allowed for precise control of the stressor characteristics, in order to perform more controlled research and gain better insight in the underlying physiological systems. GASICA consists of a continuous feedback loop that presents digital psychological stressors and online adjusts the characteristics of these stressors based on the measured neural and physiological signals. To optimise this adjustment, GASICA constructs an individual stress response model of each individual subject, based on the physiological response of the subject to presented stressors. This is done by fitting several multiple regression models. GASICA utilises a polyglot programming paradigm to allow for the different modules to work optimally within their environment, using amongst others Python and C++. Using GASICA, a new series of studies was initiated to gain further insight in the effects of stress on the brain and physiological systems. Based on physiological data (e.g. EEG, fMRI, ECG, and saliva sampling) we developed new insights in the systems underlying our stress responses, for instance with respect to the role of the sympathetic nervous system in responding to symbolic and non-symbolic stressors.

Philips Research

Research internship

Eindhoven, Netherlands

februari 2009 - februari 2010 (1 jaar)

Designing, implementing and verifying a novel framework to perform sleep staging using non-obtrusive measurements of physiological signals. Implemented in R using both existing techniques, such as SVM's, as well as new approaches I developed, e.g. for detecting ectopic peaks in respiratory signals. These new approaches were submitted and accepted into packages of the CRAN R repository to allow the rest of the community to use these methods. For this work I was elected Young Scientist in residence by the European Sleep Research Society at the ESRS congress, in Lisbon 2010.

BlueDome

Internet application specialist

april 2006 - mei 2009 (3 jaren en 1 maand)

Providing first-tier support for 1000+ servers and the specialised internet applications running on the servers. Also supervising this support by directing other support employees.

Opleidingen

  • Master of Science

    Utrecht University

    2019

    Master of Science - MS, Clinical Psychology

  • Doctor of Philosophy - PhD, Neuroscience

    Utrecht University

    2016

    Doctor of Philosophy - PhD, Neuroscience

  • Master of Science

    Utrecht University

    2010

    Master of Science - MS, Cognitive Artificial Intelligence

  • Bachelor of Science

    Utrecht University

    2006

    Bachelor of Science - BS, Artificial Intelligence