Ryan Casner
Structural Biology & Computational Design Scientist Sanofi
At Sanofi, Ryan applies structural biology to support portfolio projects to understand target structure/function, antibody engineering, and protein-protein interactions. Currently he is working closely with digital to better leverage protein structures to train AI models more efficiently, and he develops structure-based algorithms for high-throughput in silico analyses.
Seminars
Wednesday 29th July 2026
Panel Discussion: Combining AI Platform Technologies to Move from Structural Insight to Informed Drug Design Decisions
4:45 pm
- Leveraging foundation models to navigate complex protein systems (multi-domain, membrane-embedded, inducedproximity targets) that exceed the limits of single-structure or single-model approaches
- Combining AI-driven protein design with experimental structure generation to resolve ambiguity in binding modes, conformational states, and interaction interfaces
- Closing the loop between AI predictions and wet-lab validation by continuously retraining models on construct performance, structural success, and functional readouts
Wednesday 29th July 2026
Closing the Loop Between Structural Biology & AI: Improving Nanobody Structure Prediction with Targeted Experimental Data
3:15 pm
- Identifying low-confidence regions in AI-driven protein structure prediction models for nanobodies through computational analysis
- Designing custom structural biology experiments to generate targeted training data that improves model accuracy
- Showcasing how close collaboration between wet lab structural biology and AI teams can iteratively refine predictive models for biologics discovery
