Rich Stoner
Rich is a serial entrepreneur at the intersection of engineering and biology. He is currently building a deeptech startup focused on democratizing access to autologous cell therapies through point-of-care manufacturing. He previously served as the founding Chief Scientific Officer at Resilience, a venture-backed biomanufacturing startup, and as the CSO of Synthego, a CRISPR genome engineering startup. Rich holds a Ph.D. in bioengineering from the University of Pittsburgh and completed a postdoctoral fellowship in Neurosciences at UC San Diego.
Exthymic
AI-Powered Automation: Driving Optimal Lab Performance
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Consistent, reproducible results are the cornerstone of synthetic biology—and AI is making them more achievable than ever. This session explores how AI and automation systems are transforming lab workflows by identifying hidden variables, optimizing equipment performance, and improving reagent management. From predictions to analyses, we’ll dive into how machine learning is driving smarter decisions, greater reliability, and faster progress in experimental biology. Real-world case studies will highlight the tangible benefits of AI-powered data interpretation in streamlining operations and unlocking scientific breakthroughs.
Designing Cellular Medicines: Using High-Throughput Experiments and AI Approaches to Program Cells to Cure Disease
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We now live in a world where genetically engineered cells are circulating people's bodies and warding off cancer. But the first approved cell-based medicines—such as CAR-T therapy—are just the beginning. In this session, we'll explore the next generation of programmable cellular medicines.
