About
I am an undergraduate at Georgia Tech, studying Mathematics and Computer Science, with an expected graduation in May 2025. I’m passionate about applying mathematical models and machine learning techniques to solve complex, real-world problems.
I currently do research under Florian Schaefer, where I develop cumulant truncation methods and implement Sum of Squares projection techniques using semidefinite programming to improve modeling and approximations in dynamic systems. This past summer I did research at the Institute for Pure and Applied Mathematics at UCLA, where I developed neural network architectures to enhance the vector fitting algorithm’s performance in noisy environments, combining traditional methods with deep learning for improved accuracy. Take a look at the Research tab for more information about the work I’ve done.
I am best reached by email.