Independent project · USC mentorship 2026–Present
CAI-Vax: Designing Personalized mRNA Cancer Vaccines
Computational tools for comparing candidate designs
An independent project exploring how computational tools can help compare candidate designs for personalized mRNA cancer vaccines — evaluating cancer-associated antigen sequences, comparing design options, and organizing candidates for later experimental testing.
The idea
CAI-Vax is an independent project exploring how computational tools can help compare candidate designs for personalized mRNA cancer vaccines. The current workflow focuses on evaluating cancer-associated antigen sequences, comparing design options, and organizing candidates for later experimental testing.
Working with a team
I started CAI-Vax as an independent project and then brought together three other students from my district to help push it forward. Rather than giving everyone the same task, we divided the work across literature review, sequence analysis, computational design, and experimental planning.
That means deciding what can be parallelized, what needs one person to own it, and where everyone needs to understand the same underlying biology before moving on.
Candidate screening
At a high level: the workflow compares sequence- and design-level properties relevant to selecting promising vaccine candidates, and prioritizes options for later validation.
Experimental validation
Experimental validation is being designed and planned. Results will be added when they are ready to be shared publicly.
Add validation plan and results when they can be sharedImages, posters & documents
↳Milestones
- 2026
Assembling the team
Started as an independent project, then brought in three other students from the district — split across literature review, sequence analysis, computational design, and experimental planning rather than everyone doing the same task.
Chapter - 2026
Candidate screening
The workflow compares sequence- and design-level properties relevant to selecting promising vaccine candidates, and prioritizes options for later validation.
Chapter - Planned
Experimental validation
Experimental validation is being designed and planned. Results will be added when they are ready to be shared publicly.
Upcoming- Add validation plan and results when they can be shared