Explore how the integration of AI-driven design and wet-lab validation is transforming biologics discovery.
What you’ll learn:
Practical applications of AI in biologics discovery
- How AI approaches — such as de novo lead generation, hit screening, and lead optimization — streamline discovery workflows
- The challenges of AI-only workflows and how to bridge the gap between predictions and experimental success.
Advanced experimental approaches
- How advanced wet-lab techniques, including in vitro validation, complement AI-driven predictions.
- The flexibility of modular workflows in supporting diverse biologics, from peptides to antibodies.
The power of AI and Wet-Lab integration
- How combining AI insights with experimental validation enhances efficiency and accuracy.
- The role of iterative feedback loops in refining discovery strategies and improving outcomes.
Engage with experts and explore opportunities
- Discuss emerging trends and future directions with scientists from Ardigen and Selvita.
- Learn how early adopters can leverage AI-lab integration for next-generation biologics discovery.
Meet our speakers:
Maciej Jasiński, PhD
Maciej leads an interdisciplinary team focused on applying AI and computational methods to advance biologics discovery. With over a decade of experience spanning academia and industry, he specializes in AI-driven and physics-based approaches for drug development. Holding a PhD in Physics, he brings a multidisciplinary perspective to improving success rates in biologics research.
Piotr Mamczur
Piotr Mamczur is a biotechnology and biopharmaceutical expert with nearly 20 years of experience in protein science. As a Team Leader at Selvita S.A., he focuses on antibody drug discovery, specializing in expression and purification. His background spans academia and industry, with expertise in biopharmaceutical production, regulatory compliance, and process optimization.
