Summary
Encheng Su is a PhD student and research engineer with eight years of experience bridging AI4Science, large language models, and spatiotemporal prediction across academia and industry. Based at Shanghai AI Laboratory and jointly enrolled at USTC, he designs domain-specific multimodal foundation models and develops predictive networks for tasks from trajectory and human motion forecasting to weather and traffic modeling. His background includes hands-on hardware and SDK development for 3D laser scanning, longitudinal medical imaging research at UCLA for breast cancer subtype prediction, and a research internship at MSRA focused on AI4Science. Encheng combines strong theoretical training (Technical University of Munich, PhD at USTC) with practical system-building skills, able to move projects from dataset curation through end-to-end model implementation. He often works at the intersection of modalities and time-series dynamics, bringing multidisciplinary approaches to complex prediction problems. Less obvious: he pairs algorithmic development with low-level data acquisition and processing experience, enabling more accurate and efficient real-world ML pipelines.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of Science and Technology of China
Master's degree, Master's degree at Technical University of Munich