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

• 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.