معرفی
Boran Gao is an Assistant Professor in Biological Sciences at Purdue University, affiliated with the College of Science. His research focuses on machine learning, artificial intelligence, and their applications in healthcare informatics, natural language processing, and federated learning. He explores topics like knowledge editing in large language models (LLMs), fairness in AI, and causal inference. Recent work emphasizes scalable solutions for copyright compliance in LLMs, efficient federated learning frameworks, and bias mitigation strategies. His contributions span both theoretical advancements and practical implementations, including frameworks like Suv and Roselora. Despite no listed awards, his prolific publication record highlights impactful contributions to AI ethics and distributed learning.
