Applied Mathematician & University of Minnesota Lecturer
Applied mathematics, numerical research, and computational teaching.
I am an applied mathematician and Lecturer in the School of Mathematics at the University of Minnesota. My research combines mathematical analysis and numerical computation to study dynamical systems, celestial mechanics, and black hole quasinormal modes.
I also develop mathematics learning resources that connect mathematical reasoning with computation. In my current Applied Linear Algebra course, I have developed and implemented Python-based computational worksheets and online assessments alongside traditional mathematical treatment. I plan to continue this pathway next semester. My public resources also include a mathematics-based Machine Learning with Python curriculum.
Applied Linear Algebra and Python activities | Machine Learning with Python materials | Academic CV
I earned my Ph.D. in Mathematics from the University of Minnesota in 2022 under the guidance of Rick Moeckel. My dissertation, Relative Equilibria of Dumbbells Orbiting in a Planar Newtonian Gravitational System , reflects my longstanding interest in orbital mechanics and nonlinear dynamics.
This website collects information about my research, teaching, course materials, publications, and selected creative work.
If you are a current student looking for course-specific assignments or announcements, those materials are usually posted on Canvas.
A course on applied linear algebra with Python notebooks and online assessments implemented in my current University of Minnesota course. The Python implementation help students explore linear-algebra concepts alongside written mathematical work. Topics such as least squares, eigenvalues, and singular value decomposition provide foundations relevant to machine learning.
Explore Python notebooks and interactive practicePublicly available curriculum materials connecting optimization, regression, classification, dimensionality reduction, and neural networks to their mathematical foundations. Includes notes, exercises, solutions, and Python starter scripts.
Browse the machine learning materialsRead about my work in celestial mechanics, dynamical systems, black hole quasinormal modes, and gravitational wave mathematics.
View researchLearn more about my teaching background, teaching philosophy, and experience with courses in calculus, statistics, probability, differential equations, and linear algebra.
View teachingAccess class notes, activities, exercises, and study resources from mathematics courses I have taught or developed.
Browse course materialsRead about assistive technology, disability accommodations, voice recognition, and accessibility in mathematics education.
View accessibility pageListen to and download selected original compositions from my earlier work in music.
View musicOne area of my recent research concerns black hole quasinormal modes and the mathematical behavior of effective potentials. These problems connect differential equations, spectral theory, numerical methods, and gravitational-wave physics.
University and research profiles: