Wenbo Wu is a tenure-track Assistant Professor in the Division of Biostatistics of the Department of Population Health and the Division of Nephrology of the Department of Medicine at the New York University (NYU) Grossman School of Medicine. He is also an affiliated faculty member of the NYU Center for Data Science. His current research synthesizes state-of-the-art methods from statistics, machine learning, optimization, and computational science to address critical and far-reaching issues in health equity, outcomes and services, and clinical practice, leveraging disease registries, administrative claims, electronic health records, and randomized controlled trials. In 2022, Wenbo received his joint Ph.D. in Biostatistics and Scientific Computing from the University of Michigan. Before that, Wenbo earned his M.S. in Economics from the University of Wisconsin-Madison, M.A. in Labor Economics from the Central University of Finance and Economics, and B.A. in Financial Management from Tianjin University.
[Nov 2, 2023] The video recording of my talk at the Yale School of Public Health Biostatistics Seminar on Oct 31, 2023 is available here.
[Nov 1, 2023] A paper by Wenbo and colleagues titled "Personalized Assignment to One of Many Treatment Arms via Regularized and Clustered Joint Assignment Forests" was released on ArXiv.
[Oct 23, 2023] Wenbo will co-chair a committee with Iván Díaz to organize the 2025 American Statistical Association Lifetime Data Science Conference in New York City.
[Sep 26, 2023] A paper by Wenbo and colleagues titled "Leveraging Neural Networks to Profile Health Care Providers with Application to Medicare Claims" was released on ArXiv.
[Aug 3, 2023] A paper by Wenbo and colleagues titled "Natural Language Processing to Identify Social Determinants of Health in Alzheimer’s Disease and Related Dementia from Electronic Health Records" was published in Health Services Research.
[Jul 28, 2023] Wenbo was invited to speak at the Yale School of Public Health Biostatistics Seminar on Oct 31, 2023 about his recent work on design-based provider profiling.
[Jul 27, 2023] Wenbo was invited to speak at the Emory University Department of Biostatistics and Bioinformatics Seminar on Nov 9, 2023 about his recent work on design-based provider profiling.
[Jul 20, 2023] Wenbo was awarded a pilot grant from the NYU Grossman School of Medicine Department of Population Health Section for Health Equity to develop equity-driven provider profiling methods for patients with Alzheimer's disease and related dementias.
[Jul 10, 2023] Wenbo was awarded a grant from the Alzheimer's Association (AARG231077773) to develop data science methods for provider profiling, with Mara McAdams-DeMarco and Krzysztof Geras as Co-PIs.
[Jul 5, 2023] A paper by Wenbo and colleagues titled "Using Information Criteria to Select Smoothing Parameters when Analyzing Survival Data with Time-Varying Coefficient Hazard Models" was published in Statistical Methods in Medical Research.
[Jan 23, 2023] Wenbo was invited to speak at the 6th International Conference on Econometrics and Statistics (EcoSta 2023) on Aug 3, 2023 about his recent work on bivariate varying coefficient modeling.