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Kaiming Cui is a Postdoctoral Research Fellow in the Department of Physics at the University of Warwick. His research focuses on exoplanet demographics and the application of advanced artificial intelligence techniques to astronomical data. Kaiming has a strong background in statistically analyzing exoplanet detection methods, employing deep learning and machine learning frameworks to enhance the accuracy of transit detection. His projects involve exoplanet science, stellar astrophysics, and the application of AI to various aspects of astronomical research. He has developed several software tools and packages that aid in the analysis of light curves and has collaborated on notable studies analyzing the occurrence rates of TESS exoplanets. Kaiming holds a Ph.D. in Astrophysics from the University of Chinese Academy of Sciences, where he graduated in 2021. He is proficient in programming languages including Python and C++, and has extensive expertise using PyTorch, MESA, and IRAF.
Includes General, Mechanical, Civil, Electrical, Biomedical, and Manufacturing Engineering. Most programs fall under English Band A.