Edoardo Calvello
I am a third-year PhD student in Applied and Computational Mathematics in the Department of Computing and Mathematical Sciences at Caltech, where I am grateful to be advised by Prof. Andrew Stuart and supported by the Kortschak Scholars Program. Prior to joining Caltech, I received a MSci degree in Mathematics from Imperial College London.
My work lies at the intersection of data assimilation, stochastic analysis, dynamical systems, computational statistics and machine learning. I have a keen interest in research for the mathematical foundations of the data sciences and using theoretical insight to develop novel computationally efficient algorithms.
I am an instructor and university ambassador for NVIDIA's Deep Learning Institute, for which I regularly organize workshops.
Recent News
07/15/2024 I will be speaking in MS29 at the International Conference on Scientific Computation and Differential Equations in Singapore.
02/26/2024 I am co-organizing the mini-symposium "Mathematical Foundations of Ensemble Kalman Methods" at SIAM UQ in
Trieste, Italy
10/16/2023 I gave a talk at the International Symposium on Data Assimilation in Bologna, Italy.
08/20/2023 I co-organized the mini-symposium "Data-driven Methods for Rough PDEs" at the International Congress on Industrial and Applied Mathematics in Tokyo, Japan.