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AI Life Sciences Supper Series, Meetup #001
The first AI Life Sciences Supper convened at Simon Haworth's home in Vancouver on May 6, 2026. An invitation only organizing circle dinner, co led with Kris Krüg inside the BC + AI ecosystem.
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The format matched the intent in the planning docs: no formal deck, food and wine as the social anchor, and a deliberately wide life sciences lens. That lens spans biotech and drug discovery plus actuarial health analytics, clinical front lines, health system operations, legacy health IT, venture, and data for good.
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On the recording, the host explicitly invoked Chatham House: candid discussion with constraints on how remarks are re shared. Before publishing named quotes or a public attendee roster, confirm the exact rule set you want in writing (classic Chatham versus adapted).
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This recap includes a narrative that avoids attributing sensitive lines to individuals, a working attendee list from round robin intros (which may be incomplete and should be reconciled with the host RSVP), and quotable moments in anonymized form suitable if you adopt strict non attribution.
After months of planning tension between a big public launch and something shippable, the group proved the thesis Simon and Kris had been arguing for: a credible life sciences AI vertical in BC starts at the supper table, not on a conference banner. Guests arrived into a host home atmosphere that functioned as a trust accelerator. Informal logistics, including a light creative interlude, lowered the guard and let specialists from very different disciplines argue about the same underlying objects: data, incentives, regulation, and adoption.
Simon framed his bias honestly. He spends his professional life inside biotechnology and AI for drug discovery, hears the trumpet of that world constantly, and wants the community to widen the aperture to the rest of the life sciences stack. The goal is not to dilute focus but to connect chemistry era wins to the harder, nonlinear biology frontier, and at the same time to the messy reality of clinical workflows, payer logic, and public sector systems.
The round robin was unusually concrete. Participants carried credibility from health analytics and synthetic data, enterprise data architecture touching DICOM and interoperability, robotics mentorship, obstetrics and gynecology practice, hospital linked venture, nonprofit data for good scaling, and bioinformatics backgrounds spanning telehealth era constraints and modern ML. The conversation repeatedly returned to a humbling theme: many blockers are political, organizational, and legal. They persist not because moonshot tech is missing but because governance, procurement, and trust lag even when point solutions already exist.
A long table segment dissected Canadian health information fragmentation, comparing it to jurisdictions that legislated minimum viable national exchange or patient governed access patterns. The group wrestled with whether the real problem is file formats and EMR sprawl, or an institutional inclination to treat patient data as proprietary advantage, and what it would take to align patients, clinicians, provinces, and vendors around commons like models without being naive about risk.
Energy stayed high through the closing reflections, including an explicit link to October ecosystem programming such as Festival Week and life sciences track curation. Kris reinforced a community building lesson: the transcript and follow ups matter more than forcing every commitment into a performative outcomes moment at the table. The night's job was relationship and shared vocabulary. The series' job is to compound that through documentation, invites, and the next supper.