Machine Learning for Protein Engineering – Part 1 banner

The two-part Machine Learning for Protein Engineering conference at PEGS Europe explores the informatics technologies and strategies driving the improvement of quality, precision and developability of biotherapeutics via the application of artificial intelligence and machine learning. The 2023 meeting will focus on discovery and optimization campaigns via a critical examination of use cases, experimental validation procedures, integrations with legacy discovery platforms and data creation/curation. These programs will offer the PEGS Europe community a forum in which to debate successes to date in adopting this nascent family of technologies – and how research organizations can realize the potential in their significant investments in this space. This conference will demonstrate the considerable value of these techniques and emphasize the practical applications over the purely theoretical exercises. The format will be educational and interactive.

Recommended Short Course*
Monday, 13 November, 14:00 – 17:00
SC1: Machine Learning Tools for Protein Engineering
*Separate registration required. See short courses page for details. All short courses take place in-person only.





For more details on the conference, please contact:

Kent Simmons
Senior Conference Director
Cambridge Healthtech Institute
Phone: (+1) 207-329-2964
Email: ksimmons@healthtech.com

 

For sponsorship information, please contact:

Companies A-K
Jason Gerardi
Sr. Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-5452
Email: jgerardi@healthtech.com

Companies L-Z
Ashley Parsons
Manager, Business Development
Cambridge Healthtech Institute
Phone: (+1) 781-972-1340
Email: ashleyparsons@healthtech.com