About me
I am a PhD student at Caltech, in the Computing and Mathematical Sciences Department, under the supervision of Houman Owhadi. I am also honored to be a Kortschak Scholar. Prior to joining Caltech, I received a Master’s degree from Ecole polytechnique, as well as a Master’s from the University of Cambridge.
I am interested in Gaussian Processes and their interaction with other domains of Machine Learning, like Deep Learning, as well as other application in computing sciences like solving partial differential equations.
News
- 03/02/2025 Our paper on Pruning Deep Neural Networks via a Combination of the Marchenko-Pastur Distribution and Regularization was posted on Arxiv!
- 02/17/2025 I will be giving a talk on Model aggregation at DTE AICOMAS in Paris.
- 02/01/2025 Our paper on Model aggregation was accepted at ICLR 2025!
- 09/27/2024 Our paper Model aggregation: minimizing empirical variance outperforms minimizing empirical error was posted on Arxiv!
- 08/01/2024 Our paper Codiscovering graphical structure and functional relationships within data: A Gaussian Process framework for connecting the dots was published in PNAS!
- 02/27/2024 I will be giving a talk on Computational Hypergraph Discovery at the SIAM UQ 2024 conference in Trieste.