Felix Wang is a master's student in Statistics at the University of Chicago, with a deep passion for the intersection of pure mathematics and cutting-edge technology. His primary research interest focuses on exploring the applications of large language models (LLMs) and artificial intelligence to tackle complex mathematical problems. Felix has developed his skills through practical research, including creating a predictive stock selection model using advanced evolutionary algorithms. His academic journey, marked by rigorous coursework in machine learning, active representation learning, and real analysis, has provided him with a strong foundation for his interests. He is motivated to apply his unique combination of skills in abstract mathematics and AI to pioneer new solutions and contribute to the evolving landscape of technology.