​Once a year we put the investors in a room by themselves. No startups. No pitches. No slides. ​Just the people actually moving capital across biotech and synthetic biology, talking honestly about what they're seeing: what's working, what might be overhyped, and where the real opportunities are right now. It's the conversation you can't have when founders are listening. ​It's invitation-only and space is limited

Billions of proteins remain uncharacterized - invisible to current tools, unknown in function, and untapped in potential. This fireside chat explores why protein sequencing is poised to become the defining technology of the next decade in biology, what "protein dark matter" really means for drug discovery and synthetic biology, and how the field is building the infrastructure to illuminate what genomics left in the shadows. 

The FoodTech sector has moved beyond its first wave of hype into a period of recalibration. Investors and founders alike are reassessing assumptions around cost, scale, and market adoption. In this closed-door luncheon, leading investors and industry operators will share hard-earned lessons from the past cycle and explore how those insights are shaping future investment strategies. From platform bets to capital-efficient models, the discussion will focus on what it takes to build durable FoodTech companies in today’s environment. Expect a candid focused on strategic clarity and actionable insight.

The future of medicine will be defined by bold bets: ambitious, high-risk ideas that traditional funding rarely supports but that could fundamentally transform human health. In this conversation, Alicia Jackson, Director of the Advanced Research Projects Agency for Health (ARPA-H), will share how the agency is tackling some of healthcare’s biggest challenges, drawing on a model inspired by Defense Advanced Research Projects Agency (DARPA) to accelerate breakthroughs in areas like universal immunity, AI-driven medicine, aging, and women’s health. With experience spanning government, startups, and frontier biotech (including leadership at DARPA’s Biological Technologies Office and founding Evernow) Dr. Jackson now leads a national effort to push the boundaries of what’s possible in medicine and unlock opportunities to radically improve human health.

As AI, automation, and scalable biotechnologies accelerate the design and deployment of biology, the line between innovation and risk is increasingly blurred. This session explores how advances in programmable biology are reshaping biosecurity and biodefense, from dual-use risks and supply-chain vulnerabilities to new models for detection, governance, and defense. Leaders from industry, government, and research will discuss how to responsibly accelerate biology while protecting public health and national security.

Venture capital alone is no longer enough to power the next wave of biotechnology innovation. Across health, biosecurity, climate, and advanced biomanufacturing, government agencies are emerging as catalytic partners, deploying billions in non-dilutive funding to accelerate high-risk, high-impact breakthroughs. But accessing this capital requires more than strong science. Founders must understand how agencies like ARPA-H, DARPA, BARDA, and others evaluate risk, define mission impact, and structure partnerships that bridge research and real-world deployment. This session brings together agency leaders, founders, and experienced operators to demystify how government funding actually works in today’s market. The panelists will explore how startups can position themselves for success, avoid common pitfalls in proposal development and contracting, and strategically leverage non-dilutive funding to extend runway, de-risk technology, and unlock new commercial pathways.

The next frontier of biology isn’t in predicting a single static protein structure, but in capturing how proteins move, fold, and interact across time and environments. This session explores how AI can illuminate protein conformations and dynamics, and extend those insights into virtual multi-cellular or tissue models. Experts will discuss the challenge of integrating heterogeneous datasets and instruments, and how breakthroughs in dynamic modeling could reshape drug design, disease understanding, and biomanufacturing. Can we build models that reflect the living, breathing complexity of biology—not just snapshots, but motion?

Biology is entering an AI-driven era, but most experimental infrastructure still produces data designed for individual experiments, not for learning at scale. As a result, much of today’s data is useful in the moment but poorly suited for training robust, long-lived models. This session will explore what biological data matters most today, what data needs to be generated now to support future models, and how leading teams are closing that gap. Panelists will discuss how automation, metadata discipline, and standardized testing pipelines can turn artisanal lab workflows into continuous experiment-to-learning systems. The focus will be on infrastructure and experimental design, highlighting practical bottlenecks, emerging best practices, and what becomes possible when biology produces abundant, high-quality, model-ready data by default.