ENPICOM
Scientific presentation
Maximize AI potential in biologics discovery and development: From model training to consumption
Building ML models for biologics discovery is no longer the challenge - ensuring they deliver real impact is. Without proper lifecycle management, even advanced models may fall short of their full potential.
We will discuss:
- Key obstacles in AI adoption for biologics discovery
- Why data foundation and pipeline automation are critical for AI success
- How a unified platform streamlines model training, deployment, and consumption
Meet the speaker
At ENPICOM, Néstor focuses on analyzing customer requirements, and oversees project setup, management, and execution. During his PhD in Immunology, he isolated and expressed monoclonal antibodies after vaccinations and developed high-throughput sequencing library preparation protocols for B cell repertoires in humans, non-human primates, and other animal models.
