Zane Perry headshot

Applied Mathematics · Machine Learning · Software Engineering

Zane Perry

I'm a M.S. Applied Mathematics student at the University of Colorado Boulder with a B.S. in Computer Science and Applied Mathematics. I work at the intersection of mathematical modeling, machine learning, and software engineering with a deep interest in how technology can be used to enhance existing scientific knowledge and drive innovation.

Current Focus

Designing hybrid mechanistic–machine learning models for genetic circuits, advancing software tools in the Genetic Logic Lab at CU Boulder, and deepening my knowledge of applied math with a focus on dynamical systems and modeling with an emphasis on machine learning and data science through my graduate studies.

Highlights

  • M.S. Applied Mathematics (4.0 GPA) with 200+ credits across math, CS, engineering, and natural science.
  • Research assistant in the CU Electrical Engineering Genetic Logic Lab.
  • Experience in mathematical modeling, data analysis & data-driven machine learning, and full-stack web apps.
  • Passion for unique applications of mathematics and machine learning to bridge interdisciplinary gaps and bring theoretical concepts to life.

About

Interests, background, and my approach to research and engineering.

About Me

When I'm not working on models or code I like to keep my mind busy and my curiosity active. A few things I enjoy:

  • Violin & Piano - A lifelong passion for music that inspires my creativity and gives me a stake in the artistic process.
  • Music Production - Exploring sound design and audio engineering techniques to understand how the music I love comes to be.
  • Theta Tau Professional Engineering Fraternity - Using my leadership skills to promote collaboration and professional development among members, while also learning valuable lessons in project management and responsibility
  • Expanding my Knowledge Base - Continuously seeking out new learning opportunities and learning how to apply new concepts in both software and mathematical approaches.
  • Networking & Mentorship - I love getting to know people beyond their work by understanding what excites them, what they value, and how they see the world. I enjoy sharing lessons I've learned and learning from others in return. For me, connection and conversation are some of the most meaningful ways to keep growing.

My Philosophy

Technology should enhance our tools, not our distance from one another, and should benefit everyone across all industries.

Technology has always been one of humanity's most powerful tools, but like any tool, its value depends on the intention and understanding behind it. I believe that the best technology doesn't try to replace people; it helps them see, create, and connect more clearly. The best systems don't operate in isolation. They grow from interdisciplinary collaboration and diverse perspectives, built by people who listen as much as they invent.

Every system I build, whether it's a mathematical model, a machine learning framework, or a creative interface, starts from that principle. Tools should be designed with care, not just capability; with an understanding of the human context they exist within. Progress isn't just measured in efficiency or performance, but in how well we preserve empathy, clarity, and meaning along the way.

Innovation and responsibility are not opposites. The most impactful technologies are those that balance both, rigorous in their logic, but guided by respect for the people who use them and the world they affect. When built thoughtfully and collaboratively, technology doesn't just solve problems, it helps us understand the world, and one another, more deeply.

Education

Academic background and degrees.

M.S. Applied Mathematics

University of Colorado Boulder — Expected 2026

Focus: Dynamics & Numerical Modeling, Applied Data Science & Stochastic Processes, Machine Learning.

B.S. Computer Science

University of Colorado Boulder — 2025

B.S. Applied Mathematics

University of Colorado Boulder — 2025