Stanford University
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Weize Xu
Postdoctoral Scholar, Genetics
BioDr. Weize Xu is a postdoctoral researcher in Dr. Xiaojie Qiu's laboratory, where he focuses on advancing computational biology and genomics research. He earned his Ph.D. in Dr. Gang Cao's lab, where he made significant contributions to the development of computational methods and pipelines for spatial transcriptomics (MiP-Seq) and single-cell Hi-C (sciDLO Hi-C). His work during this time centered on enhancing data analysis frameworks, providing more precise insights into complex biological systems.
Dr. Xu is also an expert in the development of bioimaging processing softwares. During his Ph.D., he developed the U-FISH method, a deep learning-based approach for detecting signal points in FISH images. This innovative project involved curating a high-quality dataset from diverse sources, ensuring robust performance across various FISH data types. The resulting model demonstrated outstanding generalizability and included a user-friendly Web and LLM interface, making it accessible to researchers worldwide.
In addition to his Ph.D. research, Dr. Xu further honed his skills at SciLifeLab, where he worked under the mentorship of Dr. Wei Ouyang. There, he focused on web programming and developing key components for the Bioimage.IO deep learning platform, gaining valuable experience in creating innovative tools for computational biology.
With a solid foundation in computational biology, deep learning, and bioinformatics, Dr. Xu is passionate about driving cutting-edge research and contributing new perspectives to his field. He brings a unique combination of technical expertise and a collaborative mindset to his role in Dr. Xiaojie Qiu’s lab. -
Yiqing Xu
Assistant Professor of Political Science
BioDr. Xu’s research focuses on political methodology (particularly causal inference) and comparative politics. He received his PhD in Political Science from the Massachusetts Institute of Technology in 2016, an MA in Economics from Peking University in 2010, and a BA in Economics from Fudan University in 2007.
His work has been published in leading journals, including American Political Science Review, American Journal of Political Science, The Journal of Politics, Political Analysis, Journal of the American Statistical Association, Journal of Economic Perspectives, and Nature Human Behaviour.
He has received numerous professional awards, including the John T. Williams Dissertation Prize (2014), Best Article Award from American Journal of Political Science (2016), Miller Prize (2018, 2020), Editors’ Choice Award from Political Analysis (2018, 2025), Best Statistical Software Award (2024, 2025), and Emerging Scholar Award from the Society for Political Methodology (2024).
Dr. Xu is affiliated with the Stanford Causal Science Center and the Stanford Center on China’s Economy and Institutions, as well as other research institutions.
