About Me

I am currently a fourth-year Ph.D. student in Statistics at UC Davis, under the supervision of Professor Krishna Balasubramanian. My research focuses on optimization, meta-learning, high-dimensional statistics, in-context learning, and transformers, with applications in machine learning and deep learning. Before pursuing my Ph.D., I earned my Master’s degree in Statistics from UC Davis, where I deepened my knowledge of statistical modeling, predictive analytics, and computational methods. I completed my Bachelor’s degree in Mathematics at the University of Chinese Academy of Sciences (UCAS), where I built a strong foundation in probability, linear algebra, and mathematical optimization under the mentorship of Professor Qizhai Li. Throughout my academic journey, I have developed expertise in machine learning frameworks (PyTorch, TensorFlow), statistical inference, and scalable AI algorithms, enabling me to bridge theory with practical applications in data science and artificial intelligence.