Cambridge Healthtech Institute’s 8th Annual
Leveraging Data Science for Enhanced Expression and Production
Developing and Implementing Data Models to Streamline the Process
11 November 2025
The growing demand for recombinant proteins is driving the integration of data science with engineering strategies to optimise hosts and production workflows. This includes target gene verification, codon optimisation, vector design, and clone/host selection in parallel with exploring high-throughput expression systems, data-driven design strategies, and workflow automation. Each requires careful analysis of complex variables. Cambridge Healthtech Institute’s 8th Annual Leveraging Data Science for Enhanced Expression and Production conference at PEGS Europe convenes protein and data scientists pioneering deep learning applications to enhance cell line engineering, protein expression, and scalable production strategies to streamline experiments and reduce time and costs.
Coverage will include, but is not limited to:
- Enhancing Protein Expression
- Targeting Genes
- Engineering Hosts
- Vector Construction
- Optimising Clones
- Screening Constructs
- Selecting Hosts
- Instrumentation and Automation
- High Throughput
- Lab Digitalisation
- Automation of Experimental Approaches
- Cost/Time Saving Solutions
- Leveraging Data
- Modelling
- Creation
- Curation
- Training
- Sharing
- Case Studies
- Success Stories
- Best Practices
- Lessons Learned
The deadline for priority consideration is 28 March 2025.
All proposals are subject to review by session chairpersons and/or the Scientific Advisory Committee to ensure the overall quality of the conference program. Additionally, as per Cambridge Healthtech Institute’s policy, a select number of vendors and consultants who provide products and services will be offered opportunities for podium presentation slots based on a variety of Corporate Sponsorships.
Opportunities for Participation: