
SynBioBeta Speaker
Zach Cogan
Nucleate HQ
President Emeritus
Zach is a PhD Candidate at UCSF and Altos Labs, where he is co-advised by Peter Walter and Adam Frost. His doctoral research focuses on the mechanisms of translational control and cellular stress. Prior to his graduate studies, Zach worked in the lab of Jonathan Weissman, where he contributed to the development of CRISPRoff technology. Dedicated to the life science innovation community, Zach co-founded Nucleate Bay Area in 2020 and served as Co-President and EVP of Partnerships for Nucleate HQ from 2022-2026. In these leadership roles, he focused on bridging the gap between academia and industry, securing strategic partnerships with several leading pharmaceutical companies to support the translation of rigorous science into new therapeutics and tools.
Sessions Featuring
Zach
This Year
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Business of Biology
Investor Panel: The New Capital Stack for Programmable Biology
As biology becomes an engineering discipline, the way companies are funded is evolving just as quickly. From AI-native biotech startups to capital-intensive biomanufacturing platforms, investors are rethinking how to underwrite risk, structure deals, and support companies from inception to scale. This panel brings together leading investors across venture, crossover, and strategic capital to explore how funding models are adapting to the realities of programmable biology. What makes a compelling company today? How are timelines, capital efficiency, and technical milestones being reframed? And where are the biggest opportunities emerging across human health, climate, and industrial biotech?
Featuring

Kit McDonnell
Superorganism VC
Head of Ecosystem
Thought Leader investing in biodiversity

Liliana Nordbakk
NEVA SGR
Partner
Silicon Valley angel-to-VC partner backing early-stage life sciences.

Douglas Crawford
Mission Bay Capital
GM & Mng Partner
Incubating Bay Area Biotech

Landon Merrill
Genoa Ventures
Partner

Zach Cogan
Nucleate HQ
President Emeritus
•
-
Business of Biology
Investor Panel: The New Capital Stack for Programmable Biology
As biology becomes an engineering discipline, the way companies are funded is evolving just as quickly. From AI-native biotech startups to capital-intensive biomanufacturing platforms, investors are rethinking how to underwrite risk, structure deals, and support companies from inception to scale. This panel brings together leading investors across venture, crossover, and strategic capital to explore how funding models are adapting to the realities of programmable biology. What makes a compelling company today? How are timelines, capital efficiency, and technical milestones being reframed? And where are the biggest opportunities emerging across human health, climate, and industrial biotech?
Featuring

Kit McDonnell
Superorganism VC
Head of Ecosystem
Thought Leader investing in biodiversity

Liliana Nordbakk
NEVA SGR
Partner
Silicon Valley angel-to-VC partner backing early-stage life sciences.

Douglas Crawford
Mission Bay Capital
GM & Mng Partner
Incubating Bay Area Biotech

Landon Merrill
Genoa Ventures
Partner

Zach Cogan
Nucleate HQ
President Emeritus
•
-
Human Health
Bridging Discovery and Delivery: Startup–Pharma Alliances for the AI Era
As biology becomes programmable and AI accelerates discovery, startups are generating breakthrough innovations at unprecedented speed. Yet translating these advances into real-world therapies still depends on effective collaboration with global pharmaceutical organizations. This session explores how the innovation ecosystem connects early-stage breakthroughs to scalable development, bringing together leaders from startup incubation, external innovation, and pharma strategy. Speakers will examine how AI-native biotech companies engage with pharma today: how startups become “pharma-ready,” how external innovation teams evaluate and structure partnerships, and what collaboration models are emerging as biology and computation converge. From early ecosystem support and venture building to strategic alliances and co-development pathways, the discussion will provide a practical look at how ideas move from discovery to patient impact in the AI era.
Featuring

Ekaterine Kortkhonjia
J&J
Sr. Dir, Transactions
Big-pharma dealmaker scouting early AI/data-science partnerships.

Soren Flygenring Basset
Lonza
Exec Dir, Head of Innovation

Sonal Pai
Bristol Myers Squibb
Sr Dir, AI/Digital Ext. Innovation & Partnering

Kristina Kitko
Eli Lilly
Director of Venture

Zach Cogan
Nucleate HQ
President Emeritus
•
-
Human Health
Bridging Discovery and Delivery: Startup–Pharma Alliances for the AI Era
As biology becomes programmable and AI accelerates discovery, startups are generating breakthrough innovations at unprecedented speed. Yet translating these advances into real-world therapies still depends on effective collaboration with global pharmaceutical organizations. This session explores how the innovation ecosystem connects early-stage breakthroughs to scalable development, bringing together leaders from startup incubation, external innovation, and pharma strategy. Speakers will examine how AI-native biotech companies engage with pharma today: how startups become “pharma-ready,” how external innovation teams evaluate and structure partnerships, and what collaboration models are emerging as biology and computation converge. From early ecosystem support and venture building to strategic alliances and co-development pathways, the discussion will provide a practical look at how ideas move from discovery to patient impact in the AI era.
Featuring

Ekaterine Kortkhonjia
J&J
Sr. Dir, Transactions
Big-pharma dealmaker scouting early AI/data-science partnerships.

Soren Flygenring Basset
Lonza
Exec Dir, Head of Innovation

Sonal Pai
Bristol Myers Squibb
Sr Dir, AI/Digital Ext. Innovation & Partnering

Kristina Kitko
Eli Lilly
Director of Venture

Zach Cogan
Nucleate HQ
President Emeritus
Session lineup still growing
Featuring
Speaker Coming Soon
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Human Health
From Cells to Patients: Solving the Scale Mismatch in Virtual Biology
Drug discovery often measures biology at the cell level while interventions work at the tissue, organ, or whole-patient scale. This mismatch can make accurate cell-level predictions irrelevant in the clinic. This session dives into strategies to bridge that gap: multiscale modeling that nests single-cell dynamics within organ-level simulations, spatial transcriptomics that preserve context, and surrogate models that translate cell-level outputs into clinical biomarkers. Speakers will ask: how do we ensure virtual biology reflects not just what cells do in isolation, but how biology behaves in the real complexity of patients?
Featuring
Speaker Coming Soon





































