About He Wang
My research integrates artificial intelligence with gravitational wave data analysis, advancing data processing techniques essential for gravitational wave astronomy. I have worked extensively on detection algorithms, parameter estimation, denoising methods, and waveform modeling, with a focus on addressing high-dimensional and multimodal challenges. I apply machine learning, data science, and statistical methods to develop innovative and practical solutions that enhance the reliability and efficiency of gravitational wave inference.
I lead initiatives on scalable, interpretable models and efficient high-performance computing approaches, enabling real-time event monitoring and precision parameter inference for both ground- and space-based detection. Ultimately, my work aims to accelerate scientific discovery by harnessing advanced technologies—including large language models (LLMs)—to deepen our understanding of the universe.