Faculty of Engineering
Research project description
This project will use AI/machine learning for advanced modelling and optimization for the production of protein biologics. Protein biologics include vaccine products, virus-like particles, monoclonal antibodies, and other protein therapeutics. The project will encompass both modelling/simulation and wet-lab experimental work (cell culture, automated bioreactors, LC-MS/MS for fluxomics, and next generation sequencing/genomics) and will be co-supervised by Profs. Valerie Ward and Hector Budman.
Fields of research
- Chemical Engineering
- Biomanufacturing
- Artificial intelligence
- Pharmaceuticals
- Biologics
Qualifications and ideal student profile
Prospective graduate student researchers must meet or exceed the minimum admission requirements for the programs connected to this opportunity. Visit the program pages using the links on this page to learn more about minimum admission requirements. In addition to minimum requirements, the research supervisor is looking for the following qualifications and student profile.
- Mammalian cell culture
- Biochemistry (LC-MS/MS)
- Machine Learning or process control engineering
Faculty researcher and supervisor
- Valerie Ward
Associate Professor, Canada Research Chair in Microalgae Biomanufacturing (Tier 2)
View faculty profile →
Graduate programs connected to this project
Important dates
AI and Biomanufacturing is accepting expressions of interest for intake in the winter 2027 and spring 2027 terms.