AI consulting for health and scientific research
Technical advisory for teams designing, evaluating, or applying AI in health and scientific research.
Explainable AI Strategy
Advisory for teams that need to examine how an AI model reaches a prediction, from choosing explanation methods to planning evaluation and human-review steps.
Digital Health AI
Technical advisory for health technology teams working with wearable, laboratory, lifestyle, or behavioral data. Scope can include data design, modeling, evaluation, privacy, and the path from research prototype to product planning.
Mental Health AI Advisory
Research and technical advisory for digital mental-health teams studying treatment response, remission, or behavioral sensing in defined study datasets. Work can cover interpretable modeling, mobile data, and study evaluation, drawing on published research in digital phenotyping and treatment-response modeling.
AI Governance Advisory
Advisory on accountability, oversight, and governance decisions for AI-enabled health technology, including review roles, documentation, and human oversight. The work draws on research and policy analysis and does not replace legal or regulatory advice.
AI Strategy & Digital Transformation
Advisory for organizations deciding where AI can create practical value and how to sequence adoption across people, data, systems, and oversight. Recommendations are scoped to available evidence and operating constraints.
Neurosymbolic AI Technical Advisory
Technical guidance for projects combining statistical learning with symbolic programs, reusable abstractions, or equation search. Scope can include system design, interpretable outputs, and evaluation for a defined task.
Computational Neuroscience Advisory
Advisory on machine learning for neural and behavioral signals, including electrophysiology, cortical rhythms, and cognitive tasks. The analysis plan depends on the recording, experiment, and research question.
Scientific AI Research Advisory
Research planning and guidance for AI-assisted model discovery, from experimental data to equations, programs, or hypotheses that domain experts can examine.
AI Education & Training
Design of technically grounded AI learning for university, professional, and executive audiences, from learning objectives and curriculum to workshop materials.
Academic-Industry AI Partnerships
Planning university–industry collaborations around defined AI research, education, and mentorship goals, with roles and deliverables agreed by each partner.
AI Online Learning Platform Advisory
Advisory for teams planning AI education platforms, including course structure, interactive learning, progress signals, and appropriate uses of AI.
Global AI Governance and Standards Advisory
Cross-border AI governance advisory on frameworks, standards, accountability, and coordination across jurisdictions for internationally deployed AI systems. This service focuses on international policy alignment; health-AI governance is covered under AI Governance Advisory.
Make your next AI decision with clearer evidence
Discuss the research question, data, or system decision you are working through. Advisory starts with the project’s goals, constraints, and intended use.
- Set a useful scope around the question, available data, and intended users.
- Plan evaluation so model behavior can be examined and explained.
- Connect research and product with decisions grounded in evidence and constraints.
AI Consulting
Research-led technical advisory