About

My name is J. Shepard Bryan IV, but I go by Shep. I’m a Phoenix-based physicist, AI dev, and innovator.

I earned my PhD in Physics from Arizona State University focussing on developing and implementing AI solutions for complex problems in biophysics. After graduating, I applied my training across a range of industries, including biotech, radiation therapy, nuclear power, and now insurance. Across all of these fields, the problem solving process is the same: understand a system at a fundamental level, then turn that understanding into something practical.

But, I’ve learned that its not enough to simply solve a problem. The real impact comes from turning that solution into something that can be used by others. This is the philosophy I bring to all of my work, whether it’s in my day job or in my personal ventures, which I share on this site.

My approach follows a simple framework:

Start from first principles. Understand a problem deeply, starting from the most fundamental level. Understand the system, the constraints, and the underlying mechanics before trying to solve it.
Build something practical. Focus on building something that can actually be used, not just understood. The goal is to create real value, not just theoretical insight.
Start near zero. Keep upfront investment minimal, both in terms of time and money. This allows for quick iteration and efficient testing of ideas. It’s about moving fast and learning quickly, not about perfecting something before it sees the light of day.
Scale on demand. If there’s real demand for what you’ve built, scale it. If not, move on to the next problem. The key is to be responsive to feedback and to focus resources where they can have the most impact.

This site is where I build in public. It’s a collection of projects, experiments, and ideas taken from concept to implementation, with an emphasis on real-world use. The goal is simple: take what I learn, turn it into something useful, and share the process along the way.