![](http://www.damtp.cam.ac.uk/files/styles/portrait/public/portraits/nb690.jpg?itok=Zm7Wmrnu)
I am a Research Fellow in Numerical Analysis.
My research interests lie at the intersection between numerical analysis and deep learning. I primarily focus on the mathematical foundations of deep learning to discover mathematical models (partial differential equations) from data, and the development of novel and theoretically justified numerical techniques.
I am a member of the Scientific Artificial Intelligence (SciAI) Center supported by the Office of Naval Research (ONR).
Publications
Optimization of Hopf Bifurcation Points
– SIAM Journal on Scientific Computing
(2023)
45,
b390
(doi: 10.1137/22M1474448)
Principled interpolation of Green?s functions learned from data
– Computer Methods in Applied Mechanics and Engineering
(2023)
409,
115971
(doi: 10.1016/j.cma.2023.115971)
Two-component three-dimensional atomic Bose-Einstein condensates supporting complex stable patterns
– Physical Review A
(2023)
107,
012813
(doi: 10.1103/PhysRevA.107.012813)
Bifurcation analysis of a two-dimensional magnetic Rayleigh-Bénard
problem
(2022)
Two-Component 3D Atomic Bose-Einstein Condensates Support Complex Stable
Patterns
(2022)
Learning Green’s functions associated with time-dependent partial differential equations
– Journal of Machine Learning Research
(2022)
23,
Bifurcation analysis of two-dimensional Rayleigh-Benard convection using deflation
– Physical review. E
(2022)
105,
055106
(doi: 10.1103/physreve.105.055106)
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