Assistant Professor and interdisciplinary AI researcher specializing in reliable, interpretable machine learning, with expertise in survival analysis, graph neural networks, and large language models. A student-centered global educator with over nine years of teaching experience, he has taught more than 30 undergraduate, graduate, and MBA courses since 2023 and mentored approximately 50 students.
Wu's research includes first-author publications in NeurIPS, AAAI, IJCAI, IEEE TNNLS, and medical journals focused on Alzheimer’s disease and related dementias.