Summary
I got my B.S. in Physics from the University of Nevada, Reno and worked as a cyclotron engineer for some years before returning for a masters in mechanical engineering. I've always liked math, so when the opportunity to pursue a second masters in mathematics presented itself, I jumped on it. My research is in physics-informed machine learning and control theory (particularly extending applications of Kalman filters).
Research interests
- Computation
- Control Theory
- Physics-Informed Machine Learning
Education
- B.S. in Physics, University of Nevada, Reno, 2020