Summary
Taiyi Pan is a multidisciplinary engineer combining robotics, data science, and applied AI with eight years of technical and research experience, now joining the Naval Nuclear Laboratory as a Nuclear Engineer focused on reactor refueling and operations. He has practical field experience deploying and debugging autonomous warehouse systems at scale, building automated analytics pipelines, and integrating hardware/software across complex facilities. His research bridges neuromorphic event-based vision with conventional visual place recognition—work that produced a large multimodal urban driving dataset and a peer-reviewed ICRA 2025 paper derived from his NYU master’s thesis. Fluent in English and Mandarin with conversational Japanese, Taiyi pairs cross-cultural communication skills with hands-on tinkering in 3D printing and AI healthcare prototypes. He is notable for translating cutting-edge research into operational reliability, bringing a systems-minded approach to high-reliability, safety-critical domains.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS Mechatronics Robotics and Automation Engineering, Master of Science - MS Mechatronics Robotics and Automation Engineering at NYU Tandon School of Engineering
University of California, Los Angeles
Master of Science - MS Data Science, Master of Science - MS Data Science at The University of Texas at Austin
Master of Science - MS Analytics (Data Science AI/ML), Master of Science - MS Analytics (Data Science AI/ML) at Georgia Institute of Technology
Computer Science Certificate - Java Programming Computer Science, Computer Science Certificate - Java Programming Computer Science at City College of San Francisco
London School of Economics and Political Science
English, Chinese, Japanese