Wei Xu

Wei Xu is a Research Professor in the Department of Computer Science at Stony Brook University and a Computational Scientist leading the Trustworthy Artificial Intelligence (TAI) group at Brookhaven National Laboratory's Artificial Intelligence Department. She holds a Ph.D. from Stony Brook University and M.S./B.S. degrees from Zhejiang University. Her research bridges artificial intelligence, high-performance computing, and scientific visualization, with current focus areas including explainable AI for scientific applications, quantum computing performance, and neural representations for ensemble simulations.

Her work spans:

• AI/ML for Science: Developing trustworthy AI models for climate prediction, quantum computing, and medical diagnostics.
• Visual Analytics: Creating novel tools for multivariate volume visualization and quantum state representation.
• High-Performance Computing: Optimizing exascale workflows and performance analysis.

Recent publication trends (2021-2025) demonstrate strong emphasis on explainable AI techniques for scientific domains, neural representations for data efficiency, and visualization methods for complex scientific data. Her papers frequently appear in top venues like TVCG, ICLR, and IEEE VIS.

Awards & Honors:

• Women@Energy Showcase (2014)
• Best Paper Awards: PacificVis (2025), ISAV/SC20 (2020), Fully3D Workshop (2009)
• Spotlight Presentation at ICLR TCCML Workshop (2025)

She secures funding through DOE BER/SciDAC programs and BNL initiatives (LDRD, NSLSII DSSI). As Trustworthy AI Group Lead, she oversees projects integrating AI with scientific infrastructure. She actively contributes to conferences as committee member (SC23/VIS24) and session chair (AAAI24, SC23).