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 buil