Clinical practice
Care that has time for the whole person.
Individualized psychiatric care grounded in careful listening, modern neuroscience, and a practical definition of recovery.
Explore clinical care Clinical practice · Academic innovation
Better models.
More human care.
Resilient Minds brings clinical practice, neuroscience, publishing, and responsible AI into one body of work—built around a deeper understanding of people.
One premise
AI is most useful when it extends expertise, preserves judgment, and gives people access to understanding that fits their needs.
AI strategy & academic innovation
Systems that make expert knowledge more useful.
Clinical reasoning architectures, publisher partnerships, educational resources, and governance for responsible AI.
Explore current projectsPublishing & education
Extending trusted scholarship
into new learning formats.
Resilient Minds is interested in working with publishers, editors, authors, and academic organizations to explore integrated learning resources built around authoritative content. The emphasis is on careful collaboration: preserving the scholarship, voice, and educational purpose of the source while testing where AI can add genuine value.
Trusted source
Begin with authored material whose scope and authority are clear.
Interactive access
Help readers explore it by question, case, or level of expertise.
Adaptable resources
Develop selected learning formats for particular audiences and purposes.
Scholarly exchange
Create opportunities for authors, educators, clinicians, and learners to remain in conversation.
A careful method
Start with the source. Design each new resource for its purpose.
A collaboration could begin by identifying the publisher-selected material that should anchor the work and the editorial principles that should remain visible in any new format. Evidence selection can then be kept distinct from editorial judgment, with the audience, purpose, depth, voice, and limits of each output considered explicitly.
Where useful, the same source material might support an expert chapter, a student explanation, a clinical case, a patient handout, or an assessment. Each would still require its own editorial decisions rather than being treated as an automatic conversion.
Selected projects
Building the layer
between data and judgment.
Across these projects, the recurring concern is the same: how to turn complex information into a useful model without losing provenance, uncertainty, context, or human authority.
DaiMIND
A clinician-governed architecture that converts heterogeneous clinical information into a dynamic model of the individual. It decomposes narratives into meaningful variables, preserves source lineage and uncertainty, handles contradiction and change over time, and produces fit-for-purpose clinical projections under explicit human review.
The aim is continuity of understanding—not simply faster note generation.
Integrated learning resources
Exploring how trusted scholarly content might support useful new learning formats while keeping authors and editors closely involved. The approach distinguishes source material, evidence selection, editorial judgment, and the needs of each audience so that AI can assist without flattening the character of the original work.
Early development has used autism neuroscience to explore materials for students, clinicians, patients, and families.
Psychiatry’s missing functional layer
A framework positioned between clinical phenomenology and genes, cells, circuits, and computations. It describes the capacities, processes, states, and representations that generate experience and behavior—giving clinicians and AI systems a more useful level of explanation than diagnosis alone.
Built to support formulation, teaching, research, and more interpretable clinical AI.
Clinical AI controls
A practical control architecture for generative AI in clinical work: patient identity and source controls, evidence lineage, clear separation of fact from inference, uncertainty preservation, verification of generated assertions, and bounded transformation of sensitive clinical data.
Safety is treated as a property of the system—not merely a well-written prompt.
Behavioral-health workflow transformation
AI-assisted workflows that turn fragmented records into standardized clinical summaries, decision-support questions, and structured documentation while preserving the physician’s determination. The same design principles can support longitudinal models of children whose needs unfold across settings and over time.
The model supports judgment; it does not automate clinical authority.
AI strategy
Clinical depth for
responsible innovation.
Resilient Minds brings a practicing psychiatrist’s perspective to organizations building, evaluating, and implementing AI in mental health.
Clinical AI strategy
Evidence-informed direction for teams building at the intersection of mental health, healthcare, and AI.
Product & workflow advisory
Clinical requirements, workflow design, and expert review from concept through implementation.
Safety & evaluation
Practical evaluation for usefulness, quality, risk, equity, and responsible deployment.
Selected scholarship
Research across
disciplines and settings.
A selected body of work spanning clinical AI, translational neuroscience, autism, treatment evidence, medical education, African bioethics, and global health.
01Artificial intelligence in pediatric behavioral healthChild and Adolescent Psychiatry and Mental Health02An Integrated Neuroscience Perspective on Formulation and Treatment Planning for Posttraumatic Stress Disorder: An Educational ReviewJAMA Psychiatry03A Predictive Coding Account of Psychotic Symptoms in Autism Spectrum DisorderJournal of Autism and Developmental Disorders04Pharmacologic and Non-Pharmacologic Interventions for Emotional Lability: A Meta-AnalysisNeuroscience & Biobehavioral Reviews05Efficacy of antipsychotics for irritability and aggression in children: a meta-analysisExpert Review of Neurotherapeutics06Acute psychoactive effects of intravenous ketamine during treatment of mood disordersJournal of Affective Disorders07“It’s for a good cause, isn’t it?”—Exploring views of South African TB research participants on sample storage and re-useBMC Medical Ethics08Cutting to the chase: Participation factors, behavioral effects, and cultural perspectives of participants in an adult circumcision campaignAIDS Care
View Google Scholar profile Practice
A simple path
to connect.
Resilient Minds Psychiatry keeps the first step straightforward. Reach the practice directly by email with your name and the best way to contact you.
Clinical Care
We take the time to understand your symptoms, your story, and what recovery means to you. Care is grounded in modern brain science without losing sight of the person behind the diagnosis.
Email the practiceTime
You get all the time you need.
Access
Care is ready when you are.
Problem-solving
We work with you to solve problems, not simply name them.
Neuroscience
We integrate modern neuroscience into thoughtful, individualized care.
Recovery
Every decision is guided by the pursuit of meaningful recovery.
Gerrit van Schalkwyk, MD
Clinical judgment with an academic foundation.
Psychiatrist, educator, editor, and health-system physician leader working across clinical care, neuroscience, medical education, and responsible AI.
Dr. van Schalkwyk is an Assistant Clinical Professor at the Yale Child Study Center, a former journal editor-in-chief, and a co-editor of the sixth edition of Lewis’s Child and Adolescent Psychiatry. His work is shaped by the conviction that technology should deepen—not displace—the relationships and judgment at the center of care and scholarship.
Contact
Start a
conversation.
Contact Resilient Minds about clinical care, a publisher or academic partnership, or responsible clinical AI. Please avoid including sensitive medical details in your first message.
gerrit@resilientmindsmd.com