Dongxia (Allen) Wu

I am currently a postdoctoral scholar at Stanford advised by Prof. Emily B. Fox. Subsequently, I will join MBZUAI Department of Statistics and Data Science and Department of Machine Learning as a tenure-track assistant professor in the fall of 2026.

I received my Ph.D. degree in Computer Science at UC San Diego in 2025, advised by Prof. Rose Yu and Prof. Yian Ma. I received my Bachelor degree of science in Applied Math, Physics, and Computer Sciences at University of Wisconsin-Madison in 2020. My research primarily lies in Bayesian Deep Learning, Sequential Decision Making, Scientific Machine Learning, Spatiotemporal Modeling, and AI for Public Health. The proposed approaches have been widely used in public health, traffic modeling, climate science, and drug design.

My lab is seeking several highly motivated PhD students/Postdocs/RAs/Visiting PhD students. All positions begin in Fall 2026. I recruit from the MBZUAI Statistics and Data Science Department and the Machine Learning Department. Specifically, I am seeking students in the following research areas:

• Probabilistic Machine Learning: uncertainty quantification, Bayesian optimization
• Spatiotemporal Modeling, Control, and Optimization: time series model (behavioral/biomedical), climate modeling, smart cities, supply chain, and industrial planning.
• AI for Healthcare: disease control, drug design, and cell modeling.
• Multimodal and Foundation Models: LLM trustworthiness, foundation models in science and engineering.

If you are interested in working with me, please email your CV, academic transcript, and a brief outline of your research plan to dowu@stanford.edu with the subject line: [Your Name] [Position You Are Applying For] - MBZUAI Research Opportunity Application.