Welcome to Michael Holm's Portfolio

About me

I'm currently a Mechanical Engineering Ph.D. student at Purdue University, studying dynamic system identification through machine learning using neural operators. Specifically, I'm developing ways to effectivley make the Laplace Neural Operator [1] robust to noise and sparse data measurement. I'm also investigating the effects of hydrogen isotope irradiation on tungsten in fusion reactors, and how machine vision and neural operators can be used to predict this behavior.

Along with being a Ph.D. student, I work at Sandia National Labaratories as an R&D intern. I work there part time during the school year, and have spent the past two summers in New Mexico working there full time. While there, I have gotten additional experience in machine learning, neural networks, and data analysis.

In my free time, I enjoy running, lifting, astrophotography, playing the piano, and hiking. I'm currently planning a backpacking trip to Yellowstone National Park, and have hiked in the Grand Canyon, many different national forests, some of the Appalachian Trail, and in the Rocky Mountains.