David
Young.

Coming from a background in Applied Mathematics, I initially treated coding strictly as a research tool. However, I quickly discovered that I was just as invested in the engineering behind the algorithms as I was in the theoretical results.

That realization drove my pivot into Computer Science. I wanted to move beyond writing code that works for a single experiment to building robust, scalable systems that handle real-world complexity.

Now, as a graduate student at UPenn, I combine analytical problem-solving with modern software engineering, focusing on computer vision, deep learning, and how algorithmic efficiency drives intelligent technology.