Xiecheng Shao

Experienced Ph.D. student with a solid foundation in programming, encompassing 5 years of proficiency in Python (PyCharm/Notebook), 3 years of expertise in signal and data-related projects, 3 years of programming with MATLAB, and 1 year of experience in R. Currently engaged in cutting-edge research, focusing on the development of LSTM and dPCA models to unravel complex time series neural signals within the context of deep brain movements, employing a neural dynamics approach and leveraging PyTorch. Passionate
about pushing the boundaries of data-driven research and neural signal analysis to contribute valuable insights to the field.