Summary
Chujie Lu is an FWO Postdoctoral Fellow at KU Leuven with 11 years of interdisciplinary experience bridging AI, probabilistic modeling, and building energy systems. She develops trustworthy, adaptive fault diagnosis solutions for large-scale HVAC and building energy applications using multimodal data and generative AI. Previously she contributed to TU Delft’s Brains4Buildings project and taught applied data practices as a senior data analyst at Saxion, combining academic rigor with industry-focused knowledge transfer. Her PhD in computer science and early training in building environment engineering enable a rare cross-domain fluency that spans theory, field deployment, and stakeholder collaboration. International research stints in Canada and Sweden reflect a collaborative, globally-aware approach to research translation. Colleagues note she excels at turning complex probabilistic models into practical tools that operational partners can trust and adopt.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Guangdong University of Technology
Visiting Scholar, Visiting Scholar at Carleton University
Visiting Student, Visiting Student at Umeå University
Bachelor of Engineering (B.E.) Building Environment and Energy Engineering, Bachelor of Engineering (B.E.) Building Environment and Energy Engineering at Changsha University of Science and Technology
Chinese, English, Dutch