Jae Lee is a Principal Investigator at the University of Hamburg with a decade of research experience building robust, interpretable AI systems and leading DFG projects like LUMO and E4-MALM. His work spans lifelong multimodal learning—vision-language understanding and language-conditioned robotic manipulation—aimed at keeping AI reliable as tasks evolve. Previously a postdoc across institutions in Europe and Australia, he combines formal reasoning, neurocognitive models of crossmodal language learning, and practical neural-architecture design. Jae’s background in mathematics and a Dr. rer. nat. in computer science underpins a methodical approach to robustness and interpretability that bridges symbolic and neural methods. He maintains an active research presence from Hamburg and often brings insights from long-term visiting positions in the U.S. and Korea into his interdisciplinary agenda.
10 years of coding experience
12 years of employment as a software developer
Research Intern (funded by DAAD and KOSEF), Research Intern (funded by DAAD and KOSEF) at Seoul National University
Visiting PhD Student, Visiting PhD Student at North Carolina State University
Dr. rer. nat., Computer Science, Dr. rer. nat., Computer Science at University of Bremen
Visiting PhD Student, Visiting PhD Student at University at Buffalo
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