Summary
Jin Liuyi is a Postdoctoral Researcher at Washington University in St. Louis with nine years of experience at the intersection of AI, healthcare, and systems research. He completed a PhD in Computer Science at Texas A&M, where his work focused on AI for emergency healthcare, and now develops AI methods for health and science under Prof. Chenyang Lu. Jin has industry research experience across AI systems and heterogeneous computing from internships at Baidu, VMware, Facebook Research, and Xiaomi, bringing practical SW/HW co-design insight to academic problems. His background in petroleum engineering and safety engineering gives him an uncommon cross-disciplinary perspective on risk, reliability, and real-world deployment. Known for translating research into systems-aware solutions, he blends rigorous academic methods with hands-on engineering across both cloud and edge environments.
8 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Texas A&M University
Bachelor’s Degree, Safety Engineering, Bachelor’s Degree, Safety Engineering at China University of Mining and Technology