HyperScale Bio

Where AI, Engineering and Biology Collide

Foundational AI Models | Machine Learning | DNA/RNA/AA LLM’s | Drug Discovery AI Pipelines | Scaling Data Generation | Data Insufficiency I Model Benchmarking | Automated Science | Computational Drug Discovery | Diffusion Models | Protein Engineering | Antibody Engineering | Engineered Cell Therapies | Longevity

Meet the geeks at the intersection of biology and technology. Learn how new AI models are being applied to everything from enzyme engineering to drug delivery. How will AI and machine learning increase our ability to make biology easier to engineer? How do AI models benchmark against each other? How will we produce enough data to feed into the models?

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Featured Speakers

Jakob Uszkoreit

Co-Founder & CEO

Christalyn Rhodes

Associate Vice President- Genetic Medicine

Eli Lilly and Company

Raphael Townshend

Co-founder and Venture Partner

Amadeus Capital Partners

Assistant Professor of Computer Science

Princeton University

Peyton Greenside

BigHat Biosciences

Assistant Professor of Chemical Engineering

Stanford University

Co-Founder, Partnerships

Head of Applied Research

Director, Search & Evaluation

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Featured Sponsors

Arzeda

Ansa Biotechnologies

Ribbon Bio

Elegen Bio

MITRE

Capgemini

TD Cowen

Twist Bioscience

Beckman Coulter Life Sciences