Hi! I am a PhD student at the Deparment of Applied Mathematics and Statistics at Johns Hopkins University, where I am fortunate to be advised by Professor Soledad Villar. My research interests lie at the intersection of mathematics and deep learning. I am exploring how to incorporate mathematical ideas into the design of new deep learning algorithms, while also investigating how deep learning can aid in solving challenging mathematical problems. Currently, my focus is on Graph Neural Networks and Equivariant Neural Networks.
While this website is currently very empty, I am planning to gradually build it up during my PhD years. Stay tuned!
|I have moved to Baltimore, US and started my PhD at JHU!
|Finished Part III Mathematics at Cambridge with distinction.