Developing a secure Web interface for a gene therapy design software

Re:Pair Genomics is a Canadian biotechnology startup pioneering the use of advanced artificial intelligence to accelerate gene therapy development. The company specializes in designing compact synthetic promoters, customized DNA sequences that precisely control where and when therapeutic genes are expressed in the body. These promoters are engineered to target specific human or mouse cell types with high accuracy, dramatically reducing off-target effects. What traditionally takes months in a wet lab, Re:Pair’s AI-powered pipeline can deliver in as little as one day, helping gene and cell therapy developers overcome a major bottleneck in drug design. To increase internal efficiency and scalability, Re:Pair Genomics is partnering with Sheridan College’s Centre for Applied AI to develop a secure, user-friendly web interface for their proprietary machine-learning algorithm. Currently, only the company’s co-founders can access the algorithm directly to protect it as a trade secret, creating a bottleneck as client demand grows. This project will enable other internal teams, such as scientists and research staff, to safely interact with the algorithm through a controlled interface without exposing the underlying code. The new platform will streamline operations, reduce turnaround time for promoter design, and allow Re:Pair to serve more clients in the pharmaceutical and academic sectors. It also positions the company for sustainable growth by supporting product development and enabling secure, role-based access to its core technology. More broadly, this project aligns with Canada’s strategic priorities in life sciences and artificial intelligence by fostering innovation at the intersection of biotechnology and machine learning. Through this collaboration, Re:Pair Genomics will be better equipped to support the creation of safer, more effective gene therapies while also providing valuable hands-on training to emerging talent in applied AI development.

Faculty Supervisor:

Haruna Isah

Student:

Partner:

Re:Pair Genomics Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Sheridan College Institute of Technology and Advanced Learning

Program: