I am a PhD student at Caltech working with Houman Owhadi. I am also grateful to be supported by the Kortschak Scholar program.
I focus on Machine Learning for Scientific Discovery. In my research, I use
Our paper on Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization was posted on Arxiv!
I will be giving a talk on Model aggregation at DTE AICOMAS in Paris.
Our paper on Model aggregation was accepted at ICLR 2025!
Our paper Model aggregation: minimizing empirical variance outperforms minimizing empirical error was posted on Arxiv!
Our paper Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots was published in PNAS!
I will be giving a talk on Computational Hypergraph Discovery at the SIAM UQ 2024 conference in Trieste.
Advisor: Prof. Houman Owhadi. Research focus:
