معرفی
Jeffrey Zhang is a Research Fellow at the Yale School of Medicine, affiliated with the Department of Biomedical Informatics and Data Science. Supported by an NLM T15 training grant, he works in Dr. Hua Xu's lab, applying large language models to biomedical challenges.
Education:
- PhD in Operations Research and Financial Engineering, Princeton University (2020)
- BA in Computer Science, Economics, and Mathematics, Yale University (2014)
His research spans biomedical informatics, data science, and optimization algorithms, with a focus on machine learning applications in clinical contexts and mental health analysis. Recent publications investigate higher-order Newton methods, computational complexity, and biomedical relation extraction using AI models.
Scientific Awards:
- NLM T15 Training Grant
Jeffrey collaborates with Dr. Hua Xu, Dr. Kalpana Raja, and Dr. Qingyu Chen, among others, and contributes to interdisciplinary projects at the intersection of immunology, engineering, and AI.
