CAI Nexus Series VI — Global RL × AI for Science: From Research to Global Innovation
Global RL × AI for Science: From Research to Global Innovation
(Connecting frontier researchers, AI-for-Science builders, investors, and ecosystem leaders across Canada, Silicon Valley, and the global AI community.)
📅 August 29, 2026 (Saturday)
🕑 Toronto: 8:00–10:00 PM · Edmonton: 6:00–8:00 PM · San Francisco: 5:00–7:00 PM · Beijing: Aug 30, 8:00–10:00 AM
📍 Online (Zoom, Private Link)
🔒 Small Group · By Invitation
Description
This gathering is timed alongside the Reinforcement Learning Conference (RLC 2026), taking place August 15–18 in Montréal — a highly focused global venue for the reinforcement learning community. While RLC is centered on reinforcement learning, the field is increasingly intersecting with AI for Science, scientific discovery, robotics, world models, and other frontier AI applications. This gathering builds on those intersections, bringing together researchers, builders, investors, and ecosystem leaders to explore how advances in RL and related fields can translate into new scientific capabilities, ventures, and global innovation.
Canada has played an important role in the development of reinforcement learning and frontier AI, from the research lineage associated with Rich Sutton and Amii in Edmonton to leading research communities across Toronto, Montréal, and beyond. But the opportunity today extends well beyond any single geography. As frontier AI increasingly connects research, scientific discovery, entrepreneurship, and capital across borders, a broader question emerges: how do exceptional ideas and talent move from the lab into the world — and how can research and innovation communities connect more effectively across Canada, Silicon Valley, and the broader global AI ecosystem?
This session is not designed as a conventional panel. It is a small, informal conversation among people actively living that transition — researchers, founders, builders, investors, and ecosystem leaders connected through RLC, Stanford Ignite, Canadian AI communities, Silicon Valley, and other global networks. The goal is to exchange perspectives, surface promising connections, and explore how frontier research — particularly at the intersection of RL and AI for Science — can move across disciplines, institutions, and borders.
Community:
Stanford Ignite AI for Science Community (related initiative, unofficial)
From Research to Venture
What makes a research direction or technical insight worth building a company around — and what helps promising ideas move from the lab toward real-world impact?
The Next Generation of AI Founders
What happens at the intersection of deep technical work, product thinking, and lived industry experience — and what kinds of founders emerge from frontier research?
Reinforcement Learning & AI for Science
Where are the most interesting problems moving at the intersection of RL, scientific discovery, agents, robotics, and AI for Science — and who is already building in these areas?
From Local Hubs to Global Networks
How do researchers, founders, and investors connect across Montréal, Edmonton, Toronto, Silicon Valley, and other global AI ecosystems — and what makes those connections genuinely useful?
Building Across Communities
How can universities, research labs, alumni networks, startups, investors, and founder communities reinforce one another rather than operate in parallel?
Schedule
Opening & Framing
RL × AI for Science: key questions and perspectives.
Keynote1 — RL & Decision-Making for AI for Science
Pascal Poupart — Professor of Computer Science at the University of Waterloo and Canada CIFAR AI Chair, whose research spans reinforcement learning, decision-making, and AI for scientific discovery.
Keynote2 — AI × Biology & Programmable Medicine
Rico Meinl — Head of AI at Retro Biosciences, working at the intersection of AI, cell reprogramming, and programmable medicine. His work includes collaboration with OpenAI, applying GPT-4b micro to explore redesigned Yamanaka factors for cell reprogramming.
Keynote3 — Time & Procedure: Important Factors We Missed in Our Cell Models
Jingyu Li — Founder & CEO of Cellatopia Biotechnologies, working at the intersection of AI, cell biology, and biotechnology. She will share perspectives on how time and experimental procedures can shape cell models.
Case Discussion I — The AI4Science Bottleneck
Models, data, experiments, and the role of RL.
Case Discussion II — Three Ecosystems, One Problem
Boston/Harvard × Canada AI × Silicon Valley.
Case Discussion III — From Science to Venture
What would you build, why now, and what is missing?
Lightning Round — One Belief + One Ask
Closing & Next Steps
Who It's For
Researchers · Founders · Engineers · Product Builders · University Innovators · AI Ecosystem Builders
Especially relevant to: Reinforcement Learning · AI for Science · Agentic AI · Frontier AI
Small group by design — not a screening process, just a format that works better in a room this size.
About CAI (Canada–Asia Council for AI and Digital Innovation)
Canada–Asia Council for AI and Digital Innovation (CAI) is a cross-regional platform connecting researchers, founders, and ecosystem builders across Canada, Asia, and global innovation ecosystems. Its programs bridge research, talent, and real-world venture-building across Canadian innovation corridors, Silicon Valley, and Asia-Pacific research networks.
Contact: partners@caiglobal.ai
About Stanford Ignite AI for Science Community
(Stanford-ignite-20yr-reunion-2026)
An informal community of Stanford Ignite alumni and collaborators focused on the intersection of AI, scientific research, and entrepreneurship.
Stay connected with the Stanford Ignite AI for Science Community: If you are interested in contributing, collaborating, or staying connected, please sign up here.
RL Commons is an open research initiative bringing together researchers, compute partners, and contributors around compute access, shared environments, and visibility for good work.
Its programs connect research teams with compute providers, build an open library of RL environments and benchmarks, and help strong research get seen and shared.
About HFTC (Harvard Frontier Techne Club Initiative)
Harvard Frontier Techne Club Initiative (HFTC) is an interdisciplinary technology community based at Harvard Kennedy School, focused on artificial intelligence, frontier technologies, social change, and future governance.
It connects technology, policy, philosophy, and creativity through workshops, white papers, and collaborative projects exploring the future of technology and human society.
About Shanghai Jiao Tong University Alumni Association of Toronto(Community Partner)
The Shanghai Jiao Tong University Alumni Association of Toronto was established in 2017 to connect SJTU alumni across Canada and strengthen academic, professional, and cultural exchange within the Greater Toronto Area.
The association serves as a community platform for alumni engagement, cross-sector collaboration, and knowledge sharing, supporting connections across academia, industry, entrepreneurship, and public service. It also fosters cultural continuity and community-building among Chinese diaspora and international alumni networks in Canada.
This is an independent community initiative and is not an official Stanford, Stanford Ignite, RLC, or NeurIPS event. Mentions of Amii and related research figures are provided as background context on Canada's RL research ecosystem and do not imply their participation, endorsement, or affiliation with this event.