Scientific presentation

Solving big data challenges in therapeutic discovery

High-throughput sequencing and screening are revolutionizing therapeutic discovery. We will discuss how data analysis solutions and emerging AI applications can propel your therapeutic discovery with these large new datasets.

Presentation focus

  • Advancing antibody discovery with high-throughput sequencing
  • Novel in vitro and in-silico characterization approaches
  • Challenges that come with technological advances and how to solve them
  • A real life example of how ENPICOM facilitates data-driven discovery
Headshot of Néstor Vázquez Bernat.
Néstor Vázquez Bernat

Application Science Team Lead

As an Application Science Team Lead 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.