The Next Frontier in AI x Bio: Panel Discussion and Selected Startup Pitches
What would it take to scale scientific intelligence into autonomous systems that generate knowledge and advance research programs end to end?
What does the next scaling paradigm in AI x Bio look like? Where is AI already excelling in scientific work, and where are the largest opportunities for improvement? What would artificial superintelligence mean for science, and what remains to be proven? Where is the frontier headed, which new markets will emerge, and where can startups win?
These questions will define the next decade of science, and we're bringing together some of the people best positioned to answer them.
On October 22, join us for a discussion with four leaders working across the frontiers of AI, biological engineering, scientific infrastructure, and venture capital.
🎤 Meet the Panel
Charbel Eid | VP of Platform, BigHat Biosciences
Bringing the perspective of scaling biological intelligence through high-throughput experimentation, data generation, and closed-loop learning.
Nicholas Larus-Stone | Head of AI, Benchling
Defining how the interface between scientists, AI agents, and experimental data must evolve for AI to become a native part of scientific research.
Alfredo Andere 🦖 | CEO, LatchBio
Advancing the infrastructure needed to unlock frontier AI capabilities in biology, from programmable scientific workflows to autonomous research systems.
Krish W. Ramadurai | Partner, AIX Ventures
Identifying where breakthroughs in frontier AI will create new company categories, enduring competitive advantages, and opportunities for startups to win.
Moderated by Khalil Kaddoura | CEO, Optagon Labs
We'll dive into biological scaling laws, data factories, autonomous scientific agents, the role of foundation models, the evolving interface between AI and scientists, and the architecture of self-improving research systems.
🧬 Exclusive Hackathon Showcase
Throughout the week, selected participants from big pharma, leading research labs, ambitious startups, and the AI builder community will be working on real scientific challenges at our Self-Accelerating AI for Drug Development hackathon.
Selected teams will take the stage to showcase what they've built and the possibilities they're exploring at the frontier of AI x Bio.
🤝 Frontier Networking
Whether you're looking for your next cofounder, scientific collaborators, technical partners, or investors, come meet the people building the next generation of AI-native science.
📅 October 22 | 5–7 PM
📍 AWS Builder Loft, San Francisco
Organized with Health Engine, LatchBio, Wavemaker Three-Sixty Health, and Bits in Bio
Supported by AWS.
AWS Builder Loft Policy: All guests must be 18+ and present a valid government-issued physical photo ID at check-in (digital IDs will not be accepted). Scooters and bikes are not permitted in any Amazon building. No on-site parking is available.