Yuewei Lin

Yuewei Lin is a Senior Computational Scientist at Brookhaven National Laboratory and a Research Associate Professor at Stony Brook University. He holds a Ph.D. from the University of South Carolina, an M.E. from Chongqing University, and a B.S. from Sichuan University.

• Ph.D., University of South Carolina, Columbia, SC (2019)
• M.E., Chongqing University, China
• B.S., Sichuan University, China

His research focuses on AI for Science, multimodal foundation models, domain adaptation/generalization, and computer vision techniques applied to large-scale scientific data analysis. He has received major funding from DOE ASCR, NNSA, SciDAC, BER, and BES.

His recent publications span areas like adversarial robustness, oxygen vacancy engineering in materials, X-ray imaging, and galaxy deblending. These works integrate machine learning with materials science, computational biology, and astrophysics.

Scientific Awards

• Brookhaven’s Top 10 Discoveries of 2024
• DOE NNSA Joule Award (2022, 2020)
• BNL Top-10 Discoveries (2017)
• Outstanding Graduate Researcher, CSE Department, University of South Carolina (2016)
• Best 10% Paper Award, ICIP (2015)
• IEEE Signal Processing Society Travel Grant (2015)

Lin leads the Foundation Model Group at Brookhaven National Laboratory's Computational Science Initiative. He has co-PI'd multiple LDRD projects and secured renewed DOE BES funding ($4M) for 2025–2027. His work bridges machine learning with applications in scientific data, materials, and biomedical imaging.