Summary
Dongfang Xu is a Principal AI Research Engineer with 11 years of experience blending academic rigor and applied AI across healthcare and industry. She specializes in NLP, information retrieval, LLMs, generative AI and multi-agent systems, with hands-on expertise in supervised fine-tuning and reinforcement learning for clinical and commercial applications. Currently splitting time between Cedars-Sinai as a Research Data Scientist and Daffodil Health Corp, she translates cutting-edge research into deployable solutions for health informatics. Her trajectory includes postdoctoral work at Harvard and research roles at Philips, GE Healthcare and national labs, reflecting a strong track record in medical AI research and innovation. Trained through a PhD in Information Technology and a fellowship in NLP and health informatics, she often bridges domain knowledge and model engineering to solve real-world clinical problems. Colleagues describe her as a researcher-engineer who routinely moves prototypes from experimental evaluation to production-minded implementations.
10 years of coding experience
6 years of employment as a software developer
The University of Arizona
Master of Healthcare Innovation Healthcare Innovation, Master of Healthcare Innovation Healthcare Innovation at Arizona State University
Fellowship Training NLP and Health informatics, Fellowship Training NLP and Health informatics at Harvard Medical School
Bachelor of Management Information Management & Information System (Medicine), Bachelor of Management Information Management & Information System (Medicine) at Huazhong University of Science and Technology
Chinese, English