BC + AI Life Sciences Meetup
The public story behind the wider table: no presentations, no pitches, cross-silo discussion.
Life Sciences & AI
Life sciences and healthcare
The wider table for AI and life sciences in BC.
A cross-silo table for people working where AI meets biology, chemistry, biotech, healthcare, drug discovery, health data, and commercialization.
Collaborative life sciences and computation scene for the Life Sciences & AI community.
What this room is for
No pitches. No hype. Real stakes.
A cross-silo table for people working where AI meets biology, chemistry, biotech, healthcare, drug discovery, health data, and commercialization.
- A cross-silo room for life sciences people who need more than demos, pitch decks, or generic AI literacy.
- Grounded discussion of drug discovery, biology, chemistry, clinical workflows, health data, interoperability, commercialization, governance, and patient impact.
- A bridge between BC + AI's community model and the life sciences networks around Simon Haworth, Intellomx, InvestBC, academia, startups, clinical practice, and pharma.
Recent milestone
Recent milestone: the Life Sciences room widened from a private supper to a public meetup at 1000 Parker Street, keeping the same no-pitches, cross-silo format.
Bring a real life sciences or healthcare AI question, introduce the right people, or become a member to help shape the track.
What happens here
What to expect.
- Domain experts and AI builders compare where AI is actually working, where the science is still early, and where the bottleneck is data, trust, incentives, or operations.
- The room keeps clinical stakes, health data fragmentation, bias, evidence, privacy, regulatory timelines, commercialization pressure, and patient impact in view.
- Useful questions become public programming only when they can be discussed responsibly and without flattening the domain context.
Room trust
Clinical reality, data reality, and business reality all need care.
This room is built for serious conversation without turning sensitive patient details, research context, deal flow, or clinical uncertainty into public content.
Featured video
Simon Haworth: Poetry, Pharma & the Life Sciences AI Underground.
Simon Haworth connects drug discovery, life sciences infrastructure, cybersecurity, and community trust from the May Vancouver AI Community Meetup.
Recent / upcoming
Start with the public story, then bring the right people.
Simon Haworth member profile
Simon is CEO at Intellomx, a Vancouver-based founder and investor dedicated to AI for drug discovery.
Become a BC + AI member
Membership helps turn this from one meetup into durable life sciences programming.
Context
What makes this room different.
Domain scope
The room connects biology, chemistry, biotech, healthcare AI, drug discovery, health analytics, interoperability, medical devices, commercialization, policy, patient advocacy, venture, academia, and pharma transformation.
Why the table matters
The hard problems sit between disciplines: promising models, fragmented records, clinical workflow, institutional incentives, regulatory timelines, and the question of who benefits when discovery accelerates.
How public the work gets
Public sessions focus on shared learning and responsible practice. Patient details, sensitive research, business context, and deal-specific conversations stay bounded.
Story so far
It started at a dinner table.
Life Sciences & AI began the way the best BC + AI rooms often do: a small dinner table, no formal presentations, and enough domain range that the conversation could go somewhere a panel never would.
Simon Haworth and Kris Krüg brought together drug discovery researchers, health analytics leads, clinicians, interoperability architects, venture people, and data-for-good practitioners to compare what is actually happening in the field.
The thread widened quickly: where AI is already useful in drug discovery, why the biology frontier is harder than the chemistry wins suggest, how fragmented Canadian health data becomes a governance problem, and what changes when patient records are treated as institutional IP instead of something patients can mobilize.
The public meetup kept the same DNA: cross-silo, concrete, community-first, no product pitching, and no AI hype. The goal is to build the network density, governance literacy, and applied adoption capacity that BC needs before this work becomes a festival track, a procurement question, or a clinical deployment.
Public links
Read, join, or bring the next serious question.
Join
Bring a real life sciences or healthcare AI question, introduce the right people, or become a member to help shape the track.
Bring a grounded life sciences or healthcare AI question, introduce someone who should be at the table, or become a member so BC + AI can keep building this track toward Festival Week.
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