I'm a  Mathematics PhD candidate at the  University of Houston working at the intersection of scientific computing and deep learning. My research aims to develop novel neural network architectures and numerical optimization algorithms. I am passionate about translating complex mathematical theories into robust codes. My goal is to tackle complex, real-world problems by developing novel solutions grounded in rigorous mathematics.

My research interests include Scientific computing, Deep learning,   numerical methods,  numerical  optimization, and generative modeling.

I am currently working on diffeomorphic learning and CNFs.

I  work under the supervision of Dr. Andreas Mang.