​路漫漫其修遠兮,吾將上下而求索。

-屈原 《離騷》

"Extended as the way is, I will keep on searching above and below." This is a verse taken from an ancient Chinese poem "Encountering Sorrow". It is engraved with the poet's spirit: The path ahead is long and seems endless, but I will prevail in search of my ideal and the truth.

Gravitational

Wave

When a pair of black holes smash against each other, they scream unimaginably loud in the form of gravitational waves. 

I work on various topics in gravitational wave, such as developing data analysis tools and constraining astrophysics of their progenitors.

Image credit: SXS

Numerical

Relativity

Studying gravitational wave crucially rely on our understanding of their source. Comprehensive and accurate source modelling can only be achieved by solving Einstein field equation numerically.

I am currently working on developing efficient code to simulation long-timescale problem such as extreme mass-ratio inspiral and superradiance. 

Deep

Learning

Many problems in gravitational wave analysis and numerical relativity are prohibitively expensive. Deep learning has been demonstrated to be capable of solving highly complicated problems with a much lower computational cost for many tasks. I am using deep learning to break some bottlenecks in gravitational wave and numerical relativity, and opening up new opportunities to understand the universe.

Credit: Image Style Transfer Using Convolutional Neural Networks

Johns Hopkins University

Physics and Astronomy department

© 2020 Kaze Wong

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