Conference

NextGen BioMed 2026

CalendarDate & Time
  • March 23rd-25th, 2026
LocationLocation
  • London, United Kingdom

Schrödinger is excited to be participating in the NextGen BioMed 2026 conference taking place on March 24th – 25th in London, United Kingdom. Join us for a workshop and panel discussion. Stop by booth #60 to speak with Schrödinger scientists.

icon time MAR 23 | 13:25
Panel Discussion: Accelerating Workflows With Computational Design

Moderator:
• Sarah Harris, Professor of Biological and Materials Physics, University of Sheffield

Panelists:
• Esam Abualrous, Principal Scientist, Applications Science, Schrödinger
• Randall Brezski, Director of Antibody Business Intelligence and Engagement, The Antibody Society
• Amjad Khan, Global Digital Client Partner for Vaccines, Hospital and Medical Affairs, Pfizer
• Stephanie Linker, Senior Computational Biochemist, Merck & Cie KmG

Key objectives:
In silico discovery & optimisation
• Structure prediction
• Future directions

icon time MAR 23 | 15:00
Workshop: Accelerating Biologics Design with State-of-the-Art In Silico Modeling and Collaborative Enterprise Informatics

Speakers:
• Esam Abualrous, Principal Scientist, Applications Science, Schrödinger
• Freddie Martin, Senior Scientist, Applications Science, Schrödinger

Abstract:
This Schrödinger workshop will demonstrate how physics-based computational modeling (BioLuminate, FEP+) and collaborative enterprise informatics (LiveDesign) work together to accelerate modern biologics design. Participants will be introduced to an end-to-end workflow covering early structural assessment, liability and developability analysis, and structure-guided engineering using advanced free-energy methods. The session will also show how in silico predictions can be combined with experimental data in LiveDesign to support iterative design cycles, hypothesis generation, and variant prioritization. Designed to be valuable for both new and experienced users, the workshop highlights how integrated modeling and informatics tools enable faster, more informed biologics discovery and optimization.