My name is He Wang (王赫). Currently I am a postdoctoral researcher at ICTP-AP. I obtained my Ph.D. in theoretical physics from Beijing Normal University in 2020. Sharing what I’ve learned is quite rewarding, and I’m very interested in the study of Gravitational-Wave (GW) data analysis and Machine Learning (ML) technology.

Most of blog posts and notes here are written in Chinese (or English) and with updates for completion. I wish I could, after some years of study and research, accumulate a sufficient body of knowledge and achieve a view of my own. Thus, as S. Chandrasekhar noted that “I have the urge to present my point of view ab initio, in a coherent account with order, form, and structure.”

My scientific work has followed a certain pattern motivated, principally, by a quest after perspectives.

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Developing machine learning techiques for space-based GW projects (LISA/Taiji)
Peng Cheng Lab (PCL)
Visiting Scholar
December 2021 – July 2022 ShenZhen

Responsibilities include:

  • Analysing denoising techniques on GW observational data
  • Modelling transformer-based model (BERT)
  • Deploying large-scale pre-trained AI model
Research on rapid detection and inference on gravitational wave signals with deep learning


《深度学习之 PyTorch 实战》
《Python 数据可视化与实战》
《Python 程序设计》
《Python 数据挖掘工具》

Recent Publications

(2022). Intelligent Noise Suppression for Gravitational Wave Observational Data. arXiv:2212.14283.


(2022). First machine learning gravitational-wave search mock data challenge. Phys. Rev. D 107, 023021.

Dataset DOI

Github Contributions

iphysresearch's Github chart

Herb’s github stats


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