I'm a junior in the ACME program at Brigham Young University with a physics emphasis, minoring in computer science and logic. Graduating April 2028, then a PhD in applied math or computational science.
I'm also interested in philosophy and good writing; you can see what I've been reading lately. I work mostly in python but I know c++, java, and web stuff.
I'm working on additions to the OpInf package and associated research. I helped create a tutorial on preprocessing techniques like Lift and Learn. Now we're exploring what differentiable programming opens up for operator inference — can an OpInf-derived ROM do parameter recovery? Can trajectory-based post-tuning of operators and bases actually learn the underlying dynamics?
I'm designing an adaptive protocol to estimate the relevant parameters of an ion trap without the Lamb-Dicke approximation, so calibration still works in warm or fast regimes. I built a digital twin of a single ion trap in JAX for real time control. A gradient-based pulse optimizer with sequential Monte Carlo finds the pulse sequence with maximum expected information gain.
Made this for my advanced software construction class. Server-client app backed by MySQL with real time synchronized gameplay.
I built a simulation for the popular card game Flip 7 to discover the optimal strategy. Collaboration with my brother.
A journal app I built because I wanted something minimal and distraction free. Data stays on your disk, encrypted.