AI Consultant & Scientist
Grounding AI in Science & Transparency
Bridging the "Trust Gap" between technical execution and scientific integrity.
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Scientific Validation: Move from "it works in the lab" to market-ready evidence.
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Explainable AI (XAI): Turn black-box models into transparent, trustworthy systems.
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Risk & Ethics: Align with national standards (CAN/DGSI 101) and global best practices.
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Funding Success: Secure R&D grants with valid technical and scientific proposals.
About Me
I am an AI Consultant & Scientist helping Digital Health companies build trust through rigorous validation and Explainable AI (XAI). With a PhD in Biomedical Engineering and a focus on "AI for Good," I help teams prove that their innovations are reliable, fair, and effective.
Whether you need a peer-reviewed validation study, a deep-dive data analysis, or a strategy to secure non-dilutive funding, I provide the scientific proof and technical execution required to move your product from a prototype to a category leader.
Key Value Opportunities
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The "Scientist in the Room"
Provide the professional authority (PhD/Published Author) needed to validate products that require evidence but sit outside traditional clinical trial structures.
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Software-First Validation
Specializing in the unique speed and iteration of Digital Health, distinct from the slow-moving world of pharma and hardware.
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Defensible AI
Translating complex AI ethics (CAN/DGSI 101) into actionable product features that serve as a competitive advantage against less-validated competitors.
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Evidence-Based Growth
Secure trust, increase valuation, and win over investors by backing your claims with real data and rigorous analysis.
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Let's connect!
Ready to create defensible, transparent AI? Schedule a free strategy session to discuss your validation roadmap.