Computational Biology vs. Mathmatics of Computation + Bio Minor (potentially)

I'm rising sophmore at UCLA and I'm trying to decide between going for a BS in Computational Biology or Mathematics of Computation.

For context, most of my experience and interests are in health tech and neurotech. I've worked on projects in those spaces, and long-term I'm interested in things like healthcare AI, biotech, brain-computer interfaces, digital health, and potentially starting companies in those areas. Because of that, Computational Biology seems like the obvious choice on paper.

That said, the more I look into Mathematics of Computation, the more it seems like the stronger and more versatile degree overall. The curriculum looks much heavier on math, algorithms, and quantitative problem-solving, and it seems like it opens doors not only in biotech and health tech but also in software engineering, machine learning, AI research, data science, and other technical fields.

My concern is that Computational Biology might pigeonhole me too early, while Mathematics of Computation seems like it builds a stronger technical foundation that could still be applied to biology and healthcare later on.

For people who were choosing between these majors (or something similar), what did you end up doing and do you regret it? If you're working in biotech, computational biology, health tech, medical AI, or neurotech, which background do you think has been more valuable?

Would you recommend optimizing for the strongest quantitative/computational foundation and learning the biology on the side, or majoring in Computational Biology and getting the domain expertise earlier?

I'd especially love to hear from UCLA students, alumni, or anyone working in these industries. Thanks!