Summary
Xiangci Li is an Applied Scientist II at AWS with a decade of experience building and researching NLP and AI systems spanning developer tools and healthcare applications. He has moved fluidly between industry research and product teams—contributing to Amazon Q, CodeWhisperer, Google’s Health AI fact verification, and medical LLM projects—while publishing work on evidence classification and scientific discourse. His background blends a PhD in Computer Science with hands-on internships and research roles at Google, Tencent, ISI, Baidu, and Chan Zuckerberg Initiative, giving him deep expertise in knowledge-intensive NLG, dialogue, and biomedical fact verification. Notably, he has shepherded long-form research into production-facing conversational search and developer tooling, demonstrating an ability to translate academic ideas into scalable products. Based in California, he combines multidisciplinary training in neuroscience and CS with practical experience shipping ML-driven features at major cloud and search companies.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of Southern California
Computer Science Neuroscience, Computer Science Neuroscience at New York University
Bachelor of Science (B.S.) Neuroscience Computer Science, Bachelor of Science (B.S.) Neuroscience Computer Science at NYU Shanghai
Master of Science - MS Computer Science, Master of Science - MS Computer Science at USC Viterbi School of Engineering
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Dallas
High School Diploma, High School Diploma at Hangzhou Xuejun High School
Chinese, English, Japanese