School of Medicine

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  • Laurens van de Wiel

    Laurens van de Wiel

    Postdoctoral Scholar, Cardiovascular Medicine

    BioLaurens van de Wiel is Dutch scientist from Berghem, The Netherlands. Laurens spent his undergrad in Software Development (BSc, Avans Hogeschool ‘s-Hertogenbosch) and Computing Science (MSc, Radboud University Nijmegen). Laurens continued his career at a start-up, where he created large-scale, real-time analytical software. Laurens continued on his academic trajectory at the Radboudumc in Nijmegen, where he started his PhD in bioinformatics.

    During his PhD, Laurens integrated genetic data with protein 3D structures and protein domains. He utilized the skills he obtained before setting out on his academic trajectory; building large-scale, robust, reliable software. Exemplified by the MetaDome Web server ( During his PhD, he developed novel methodologies for the interpretation of genetic variants of unknown clinical significance and, by integrating structural and evolutionary biology with genomics, Laurens identified 36 novel disease-gene associations for developmental disorders. These discoveries enabled diagnosis for over 500 families worldwide.

    Laurens’ areas of expertise are (bioinformatic) software development, data integration of genetic variation with other omics, and his research aims are:
    1.) Lessons long-learned in computer science aid computational biology
    2.) Multi-omic data integration allows the impact measurement of genetic variation
    3.) Diagnosing undiagnosed disorders will uncover novel insights into biology.
    4.) International and multidisciplinary collaborations are key in diagnosing rare disorders.

    At Stanford University, under guidance of Dr. Matthew Wheeler, he is conducting his postdoctoral studies in line with his research aims.

  • Rogier van der Sluijs

    Rogier van der Sluijs

    Postdoctoral Scholar, Radiology

    BioI am a postdoc at the Center for Artificial Intelligence in Medicine & Imaging (AIMI) at Stanford University. As a medical doctor, epidemiologist, and scientist, my aim is to optimize healthcare through predictive modeling with a focus on deep learning in medical imaging.

    Prior to joining AIMI, I obtained a PhD at the Department of Trauma Surgery at the University of Utrecht in the Netherlands. During my PhD, I developed mobile and desktop applications with integrated machine learning models (the Trauma Triage App) to aid field triage of trauma patients on the scene of injury. In addition, I worked on various deep learning projects, including fracture detection, localization, and classification, semantic segmentation of videos from robot-assisted surgery, and NLP-related projects.

  • Katherine van Stolk-Cooke

    Katherine van Stolk-Cooke

    Postdoctoral Scholar, Psychiatry

    BioKatherine (Cassie) van Stolk-Cooke received her Ph.D. in Clinical Psychology from the University of Vermont. She completed internship at the Veteran's Affairs Palo Alto Healthcare system, where she began collaborating with the Mobile Apps Research Group in the National Center for PTSD.

    Cassie is currently a T32 Research Fellow with research interests in the bidirectional relation between social support and posttraumatic stress, Concerned Significant Others of adult trauma survivors, and technology-facilitated research and intervention methods. Though she was clinically trained as a generalist, she has specific expertise in the treatment of PTSD and related disorders.