
SynBioBeta Speaker
Ivan Jaubert
SynBioBeta
Director of Entrepreneurship
Ivan Jaubert is SynBioBeta’s Director of Entrepreneurship, where he leads the global startup ecosystem and facilitates strategic connections between founders, investors, corporates, and government leaders. His background spans synthetic biology, industrial biotechnology, and venture creation. Ivan previously contributed to the early development of the iGEM Startups pre-accelerator, founded and spun out a biotech company, and worked in private equity.
SynBioBeta 2026 Tickets are Live
Confirmed Speakers
Sessions Featuring
Ivan
This Year
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General
Welcome & Program Framing
Program overview, cohort goals, and how to leverage SynBioBeta as an emerging founder
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General
Welcome & Program Framing
Program overview, cohort goals, and how to leverage SynBioBeta as an emerging founder
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General
Bold VC Perspectives: How Biotech Gets Funded Today
A curated lineup of leading biotech VCs, each delivering a 5-minute rapid-fire briefing covering: fund focus, investment thesis, selection process, and their most actionable advice for fundraising in the current market
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General
Bold VC Perspectives: How Biotech Gets Funded Today
A curated lineup of leading biotech VCs, each delivering a 5-minute rapid-fire briefing covering: fund focus, investment thesis, selection process, and their most actionable advice for fundraising in the current market
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General
Mentorship Circles
Small rotating groups, high-touch conversations aligned by focus area
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General
Mentorship Circles
Small rotating groups, high-touch conversations aligned by focus area
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General
Next-Gen x Veteran Founders Luncheon
Lunch and off-the-record panel discussion with experienced founders on early-stage company building, fundraising realities, and deep tech bio lessons learned
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General
Next-Gen x Veteran Founders Luncheon
Lunch and off-the-record panel discussion with experienced founders on early-stage company building, fundraising realities, and deep tech bio lessons learned
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General
NextGen BioLeaders Wrap Up
Cohort close, special thanks to sponsors and investors, invitation to join the conference program
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General
NextGen BioLeaders Wrap Up
Cohort close, special thanks to sponsors and investors, invitation to join the conference program
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Human Health
Food Tech Salon
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Human Health
Food Tech Salon
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Human Health
Programmable Nutrition: Engineering the Next Wave of Bioactive Food Molecules
Food is no longer just sustenance—it’s becoming a programmable interface with human biology. Advances in synthetic biology and foodtech are enabling the design of bioactive molecules that target specific health outcomes: regulating glucose and lipid metabolism, strengthening cardiovascular resilience, and even enhancing cognitive performance. From engineered microbes that secrete beneficial metabolites to programmable synbiotics tuned to the gut, this session will explore how programmable biology is transforming food into a therapeutic platform. Panelists will ask: what if the next breakthroughs in managing obesity, dementia, and heart disease don’t come from pharmaceuticals, but from intelligently designed foods and functional ingredients?
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Featuring

Ivan Jaubert
SynBioBeta
Director of Entrepreneurship
Startup-ecosystem builder connecting founders, investors, and corporates.

Alexandra Boelrijk
Kerry Group
Sr. R&D Dir. ProActive
25-year R&D veteran translating clinical evidence into nutrition breakthroughs.

Gregory Hocking
Mars Snacking
VP Global R&D New Innov. Territories
Reinventing snacking through sustainability and startup bets.

Riccardo LoCascio
Novonesis
Partnering - Precision Proteins
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Human Health
Programmable Nutrition: Engineering the Next Wave of Bioactive Food Molecules
Food is no longer just sustenance—it’s becoming a programmable interface with human biology. Advances in synthetic biology and foodtech are enabling the design of bioactive molecules that target specific health outcomes: regulating glucose and lipid metabolism, strengthening cardiovascular resilience, and even enhancing cognitive performance. From engineered microbes that secrete beneficial metabolites to programmable synbiotics tuned to the gut, this session will explore how programmable biology is transforming food into a therapeutic platform. Panelists will ask: what if the next breakthroughs in managing obesity, dementia, and heart disease don’t come from pharmaceuticals, but from intelligently designed foods and functional ingredients?
Get a Ticket
Featuring

Ivan Jaubert
SynBioBeta
Director of Entrepreneurship
Startup-ecosystem builder connecting founders, investors, and corporates.

Alexandra Boelrijk
Kerry Group
Sr. R&D Dir. ProActive
25-year R&D veteran translating clinical evidence into nutrition breakthroughs.

Gregory Hocking
Mars Snacking
VP Global R&D New Innov. Territories
Reinventing snacking through sustainability and startup bets.

Riccardo LoCascio
Novonesis
Partnering - Precision Proteins
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AIxBIO
Programmable Metabolism: From Predictive Models to Agentic AI in Metabolic Engineering
Metabolic engineering is entering a new phase of programmability, evolving from mechanistic models toward AI-driven systems that can design, test, and refine biology with increasing autonomy. Early efforts to combine genome-scale modeling with machine learning began to improve genotype to phenotype prediction, hinting at a more predictive and designable biology. Today, that paradigm is advancing into a new layer. Agentic AI systems are beginning to orchestrate the full design, build, test, learn cycle. These platforms integrate experimental data, automation, and decision-making into continuous closed loop workflows, enabling faster iteration and more intelligent exploration of biological space. This session explores the next frontier of metabolic engineering, examining long standing bottlenecks such as limited data, combinatorial design complexity, and slow iteration cycles, and how AI native, end to end platforms are transforming pathway design, strain optimization, and scalable biomanufacturing.
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AIxBIO
Programmable Metabolism: From Predictive Models to Agentic AI in Metabolic Engineering
Metabolic engineering is entering a new phase of programmability, evolving from mechanistic models toward AI-driven systems that can design, test, and refine biology with increasing autonomy. Early efforts to combine genome-scale modeling with machine learning began to improve genotype to phenotype prediction, hinting at a more predictive and designable biology. Today, that paradigm is advancing into a new layer. Agentic AI systems are beginning to orchestrate the full design, build, test, learn cycle. These platforms integrate experimental data, automation, and decision-making into continuous closed loop workflows, enabling faster iteration and more intelligent exploration of biological space. This session explores the next frontier of metabolic engineering, examining long standing bottlenecks such as limited data, combinatorial design complexity, and slow iteration cycles, and how AI native, end to end platforms are transforming pathway design, strain optimization, and scalable biomanufacturing.
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Session lineup still growing
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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?
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Featuring
Speaker Coming Soon











































































































































































































































































