Yaotian Zhu

I am a master's student in Statistics and Data Science at Northwestern University, with a strong interest in generative AI, statistical learning, and diffusion models. My research focuses on understanding the theoretical foundations of machine learning, particularly in the context of large-scale models and probabilistic inference. As part of my work, I am exploring how large language models like LLaMA can be leveraged for statistical analysis, scientific computing, and automated reasoning. Specifically, I am interested in their applications in data-driven decision-making, robust statistical estimation, and uncertainty quantification. Access to LLaMA 3.1 would enable me to experiment with fine-tuning and prompt engineering techniques to enhance its capabilities in these domains.